Highlights
Quality
It covers neural networks fundamentals and presents interesting nlp use cases with tools and datasets
This book really helped me brush up on my fundmanetals around how ml and deep learning work and then went deeper into the lates... Read More
This book is great because the authors have supported theory with code snippets of pytorch which really helps in understanding ... Read More
The best book updated 2019 for nlpspeech recognition and deep learningfor anyone interested in the field of deep learning and n... Read More
Overview
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through, loved, hands-on, relevant and applicable. - Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
- Our engine has discovered that over 90% high quality reviews are present.
- This product had a total of 50 reviews as of our last analysis date on Apr 29 2024.
Helpful InsightsBETA
Posted by a reviewer on Amazon
This book is great because the authors have supported theory with code snippets of pytorch which really helps in understanding but i found a bit of a problem in the bptt derivation there they have not used the summation symbol while calculating the loss which is usually a scalar i had to derive the whole bptt on my own after some intense reading from a stanford presentation to confirm whether i was right or wrong