result
This commit is contained in:
Jeremy Howard committed
1 parent
dfecbae418
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@@ -890,7 +890,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"execution_count": 23,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -906,7 +906,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 32,
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"execution_count": 24,
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"metadata": {},
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"outputs": [
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{
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@@ -915,7 +915,7 @@
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"torch.Size([64, 20])"
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]
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},
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"execution_count": 32,
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -935,17 +935,17 @@
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"execution_count": 25,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"tensor([ 0.1987, -2.7846, -1.1943, 0.0250, -2.2920, 3.9218, 0.3482, 0.9501, 0.5162, 0.6932, -0.1302, -2.0550, 2.5748, 1.1635, 2.9216, -4.5089, 1.1606, -2.3782, -2.3923, 0.2469],\n",
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"tensor([ 0.7476, -1.1988, 4.5421, -1.5915, -0.6749, 0.0343, -2.4930, -0.8330, -0.3817, -1.4876, -0.1683, 2.1547, -3.4151, -1.1743, 0.1530, -1.6801, -2.3067, 0.7063, -1.3358, -0.3715],\n",
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" grad_fn=<SelectBackward>)"
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]
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},
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"execution_count": 33,
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"execution_count": 25,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -970,7 +970,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"execution_count": 26,
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"metadata": {},
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"outputs": [],
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"source": [
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@@ -1013,16 +1013,16 @@
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"execution_count": 27,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"tensor(1.0835, grad_fn=<BinaryCrossEntropyWithLogitsBackward>)"
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"tensor(1.0342, grad_fn=<BinaryCrossEntropyWithLogitsBackward>)"
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]
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},
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"execution_count": 35,
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"execution_count": 27,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -1067,7 +1067,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"execution_count": 28,
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"metadata": {},
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"outputs": [
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{
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@@ -1076,7 +1076,7 @@
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"('Hello Jeremy.', 'Ahoy! Jeremy.')"
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]
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},
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"execution_count": 36,
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -1095,7 +1095,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 37,
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"execution_count": 29,
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"metadata": {},
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"outputs": [
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{
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@@ -1104,7 +1104,7 @@
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"('Bonjour Jeremy.', 'Bonjour Sylvain.')"
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]
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},
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"execution_count": 37,
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"execution_count": 29,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -1123,7 +1123,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 38,
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"execution_count": 30,
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"metadata": {},
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"outputs": [
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{
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@@ -1142,30 +1142,30 @@
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" <tbody>\n",
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" <tr>\n",
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" <td>0</td>\n",
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" <td>0.939651</td>\n",
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" <td>0.685462</td>\n",
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" <td>0.234263</td>\n",
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" <td>0.942663</td>\n",
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" <td>0.703737</td>\n",
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" <td>0.233307</td>\n",
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" <td>00:07</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>1</td>\n",
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" <td>0.822047</td>\n",
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" <td>0.552421</td>\n",
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" <td>0.284761</td>\n",
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" <td>0.823155</td>\n",
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" <td>0.555462</td>\n",
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" <td>0.298347</td>\n",
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" <td>00:06</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>2</td>\n",
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" <td>0.601497</td>\n",
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" <td>0.204911</td>\n",
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" <td>0.819562</td>\n",
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" <td>0.606124</td>\n",
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" <td>0.202830</td>\n",
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" <td>0.815060</td>\n",
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" <td>00:06</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>3</td>\n",
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" <td>0.359507</td>\n",
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" <td>0.124968</td>\n",
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" <td>0.939144</td>\n",
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" <td>0.360787</td>\n",
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" <td>0.123490</td>\n",
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" <td>0.942052</td>\n",
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" <td>00:06</td>\n",
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" </tr>\n",
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" </tbody>\n",
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@@ -1194,23 +1194,23 @@
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" <tbody>\n",
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" <tr>\n",
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" <td>0</td>\n",
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" <td>0.136813</td>\n",
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" <td>0.117581</td>\n",
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" <td>0.945976</td>\n",
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" <td>0.134407</td>\n",
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" <td>0.118581</td>\n",
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" <td>0.949661</td>\n",
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" <td>00:08</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>1</td>\n",
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" <td>0.120487</td>\n",
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" <td>0.108087</td>\n",
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" <td>0.952769</td>\n",
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" <td>0.117051</td>\n",
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" <td>0.104169</td>\n",
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" <td>0.950657</td>\n",
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" <td>00:08</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>2</td>\n",
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" <td>0.098464</td>\n",
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" <td>0.103450</td>\n",
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" <td>0.950777</td>\n",
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" <td>0.097517</td>\n",
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" <td>0.101461</td>\n",
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" <td>0.952789</td>\n",
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" <td>00:08</td>\n",
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" </tr>\n",
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" </tbody>\n",
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@@ -1238,7 +1238,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 39,
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"execution_count": 31,
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"metadata": {},
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"outputs": [
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{
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@@ -1254,10 +1254,10 @@
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{
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"data": {
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"text/plain": [
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"(#2) [0.10344962775707245,0.9285657405853271]"
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"(#2) [0.10146083682775497,0.9298606514930725]"
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]
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},
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"execution_count": 39,
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"execution_count": 31,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -1276,7 +1276,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 40,
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"execution_count": 32,
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"metadata": {},
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"outputs": [
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{
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@@ -1292,10 +1292,10 @@
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{
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"data": {
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"text/plain": [
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"(#2) [0.10344962775707245,0.9431872963905334]"
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"(#2) [0.10146083682775497,0.943486213684082]"
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]
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},
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"execution_count": 40,
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"execution_count": 32,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -1314,7 +1314,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 41,
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"execution_count": 33,
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"metadata": {},
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"outputs": [
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{
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@@ -1341,16 +1341,16 @@
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},
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{
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"cell_type": "code",
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"execution_count": 42,
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"execution_count": 34,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"tensor(0.9569)"
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"tensor(0.9575)"
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]
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},
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"execution_count": 42,
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"execution_count": 34,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -1368,12 +1368,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 43,
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"execution_count": 35,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
]
|
||||
@@ -1435,7 +1435,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 44,
|
||||
"execution_count": 36,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1444,7 +1444,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 45,
|
||||
"execution_count": 37,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1461,7 +1461,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 46,
|
||||
"execution_count": 38,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1470,7 +1470,7 @@
|
||||
"(#50) [Path('01'),Path('01.obj'),Path('02'),Path('02.obj'),Path('03'),Path('03.obj'),Path('04'),Path('04.obj'),Path('05'),Path('05.obj')...]"
|
||||
]
|
||||
},
|
||||
"execution_count": 46,
|
||||
"execution_count": 38,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1488,7 +1488,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 47,
|
||||
"execution_count": 39,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1497,7 +1497,7 @@
|
||||
"(#1000) [Path('01/depth.cal'),Path('01/frame_00003_pose.txt'),Path('01/frame_00003_rgb.jpg'),Path('01/frame_00004_pose.txt'),Path('01/frame_00004_rgb.jpg'),Path('01/frame_00005_pose.txt'),Path('01/frame_00005_rgb.jpg'),Path('01/frame_00006_pose.txt'),Path('01/frame_00006_rgb.jpg'),Path('01/frame_00007_pose.txt')...]"
|
||||
]
|
||||
},
|
||||
"execution_count": 47,
|
||||
"execution_count": 39,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1515,7 +1515,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 48,
|
||||
"execution_count": 40,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1524,7 +1524,7 @@
|
||||
"Path('13/frame_00349_pose.txt')"
|
||||
]
|
||||
},
|
||||
"execution_count": 48,
|
||||
"execution_count": 40,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1544,7 +1544,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 49,
|
||||
"execution_count": 41,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1553,7 +1553,7 @@
|
||||
"(480, 640)"
|
||||
]
|
||||
},
|
||||
"execution_count": 49,
|
||||
"execution_count": 41,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1565,17 +1565,17 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 50,
|
||||
"execution_count": 42,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<PIL.Image.Image image mode=RGB size=160x120 at 0x7FE3DE68AC10>"
|
||||
"<PIL.Image.Image image mode=RGB size=160x120 at 0x7F51A2492390>"
|
||||
]
|
||||
},
|
||||
"execution_count": 50,
|
||||
"execution_count": 42,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1593,7 +1593,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 51,
|
||||
"execution_count": 43,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1614,7 +1614,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 52,
|
||||
"execution_count": 44,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1623,7 +1623,7 @@
|
||||
"tensor([384.6370, 259.4787])"
|
||||
]
|
||||
},
|
||||
"execution_count": 52,
|
||||
"execution_count": 44,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1645,7 +1645,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 53,
|
||||
"execution_count": 45,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1675,12 +1675,12 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 54,
|
||||
"execution_count": 46,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 576x432 with 9 Axes>"
|
||||
]
|
||||
@@ -1705,7 +1705,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 55,
|
||||
"execution_count": 47,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1714,7 +1714,7 @@
|
||||
"(torch.Size([64, 3, 240, 320]), torch.Size([64, 1, 2]))"
|
||||
]
|
||||
},
|
||||
"execution_count": 55,
|
||||
"execution_count": 47,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1740,16 +1740,16 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 56,
|
||||
"execution_count": 48,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"tensor([[-0.3545, -0.0016]], device='cuda:5')"
|
||||
"tensor([[-0.3375, 0.2193]], device='cuda:5')"
|
||||
]
|
||||
},
|
||||
"execution_count": 56,
|
||||
"execution_count": 48,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1788,7 +1788,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 57,
|
||||
"execution_count": 49,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1804,7 +1804,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 58,
|
||||
"execution_count": 50,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -1822,7 +1822,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 59,
|
||||
"execution_count": 51,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1851,7 +1851,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 60,
|
||||
"execution_count": 52,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1860,7 +1860,7 @@
|
||||
"FlattenedLoss of MSELoss()"
|
||||
]
|
||||
},
|
||||
"execution_count": 60,
|
||||
"execution_count": 52,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -1882,7 +1882,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 61,
|
||||
"execution_count": 53,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1898,16 +1898,16 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"SuggestedLRs(lr_min=0.00831763744354248, lr_steep=1.3182567499825382e-06)"
|
||||
"SuggestedLRs(lr_min=0.005754399299621582, lr_steep=0.033113110810518265)"
|
||||
]
|
||||
},
|
||||
"execution_count": 61,
|
||||
"execution_count": 53,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
]
|
||||
@@ -1931,7 +1931,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 62,
|
||||
"execution_count": 54,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -1949,8 +1949,8 @@
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0.051178</td>\n",
|
||||
" <td>0.009347</td>\n",
|
||||
" <td>0.050496</td>\n",
|
||||
" <td>0.008238</td>\n",
|
||||
" <td>00:36</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
@@ -1978,20 +1978,20 @@
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0.008558</td>\n",
|
||||
" <td>0.005210</td>\n",
|
||||
" <td>0.007744</td>\n",
|
||||
" <td>0.004763</td>\n",
|
||||
" <td>00:47</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0.002872</td>\n",
|
||||
" <td>0.000449</td>\n",
|
||||
" <td>0.003334</td>\n",
|
||||
" <td>0.000388</td>\n",
|
||||
" <td>00:48</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>0.001470</td>\n",
|
||||
" <td>0.000160</td>\n",
|
||||
" <td>0.001468</td>\n",
|
||||
" <td>0.000044</td>\n",
|
||||
" <td>00:48</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
@@ -2019,7 +2019,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 63,
|
||||
"execution_count": 55,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -2028,7 +2028,7 @@
|
||||
"0.01"
|
||||
]
|
||||
},
|
||||
"execution_count": 63,
|
||||
"execution_count": 55,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -2046,7 +2046,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 64,
|
||||
"execution_count": 56,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -2061,9 +2061,9 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x576 with 2 Axes>"
|
||||
"<Figure size 432x576 with 6 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {
|
||||
@@ -2073,7 +2073,7 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"learn.show_results(ds_idx=1, max_n=3, figsize=(6,8))"
|
||||
"learn.show_results(ds_idx=1, nrows=3, figsize=(6,8))"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
Reference in new issue
Block a user