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@@ -26,12 +26,15 @@ Any selling/reselling of its content is strictly prohibited.
### The PDF is available here: ### The PDF is available here:
https://arxiv.org/abs/2201.00650 https://arxiv.org/abs/2201.00650
## Citation
``` ```
@book{kashani2021deep, @book{kashani2021deep,
title={Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI}, title={Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI},
author={Shlomo Kashani and Amir Ivry}, author={Shlomo Kashani and Amir Ivry},
year={2021}, year={2021},
eprint={2201.00650}, eprint={2201.00650},
note = {ISBN 13: 978-1-9162435-4-5 },
url = {https://www.interviews.ai},
archivePrefix={arXiv}, archivePrefix={arXiv},
primaryClass={cs.LG} primaryClass={cs.LG}
} }
@@ -80,18 +83,6 @@ VOLUME-I of the book focuses on statistical perspectives and blends background f
These chapters appear alongside numerous in-depth treatments of topics in Deep Learning with code examples in PyTorch, Python and C++. These chapters appear alongside numerous in-depth treatments of topics in Deep Learning with code examples in PyTorch, Python and C++.
## Citation
```
@Book{Kashani2019, title = {Deep learning Interviews},
author = {Shlomo Kashani},
publisher = {Shlomo Kashani},
year = {2020},
edition = {1st},
note = {ISBN 13: 978-1-9162435-4-5 },
url = {https://www.interviews.ai},
}
```
## Disclaimers ## Disclaimers