v2.1 of Ch10
This commit is contained in:
@@ -1,19 +1,3 @@
|
||||
---
|
||||
jupyter:
|
||||
jupytext:
|
||||
cell_metadata_filter: -all
|
||||
formats: ipynb,Rmd
|
||||
text_representation:
|
||||
extension: .Rmd
|
||||
format_name: rmarkdown
|
||||
format_version: '1.2'
|
||||
jupytext_version: 1.14.7
|
||||
kernelspec:
|
||||
display_name: Python 3 (ipykernel)
|
||||
language: python
|
||||
name: python3
|
||||
---
|
||||
|
||||
|
||||
# Chapter 10
|
||||
|
||||
@@ -872,7 +856,7 @@ for idx, (X_ ,Y_) in enumerate(cifar_dm.train_dataloader()):
|
||||
|
||||
|
||||
Before we start, we look at some of the training images; similar code produced
|
||||
Figure 10.5 on page 164. The example below also illustrates
|
||||
Figure 10.5 on page 447. The example below also illustrates
|
||||
that `TensorDataset` objects can be indexed with integers --- we are choosing
|
||||
random images from the training data by indexing `cifar_train`. In order to display correctly,
|
||||
we must reorder the dimensions by a call to `np.transpose()`.
|
||||
@@ -1705,7 +1689,6 @@ early stopping, since then the test performance would be biased.
|
||||
|
||||
We form the training dataset similar to
|
||||
our `Hitters` example.
|
||||
|
||||
|
||||
```{python}
|
||||
datasets = []
|
||||
|
||||
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user