Dear Reader
Thanks a lot for showing your interest and trust in the book. The revised edition of the book is ready and it is more than just a code upgrade to PL 1.5.x
- It has all new revised use cases with larger, more complex real-world datasets to help you learn better
- A new chapter is added on Lightning Flash for SOTA models
- New content with examples on video classification, automatic speech recognition, Transfer learning on ResNet-50 as well as BERT NLP
- A revamped structure to easily ensure packaged compatibility during the installation process
- A section on the next steps to advance your learning in each chapter
This revised edition is different from the previous pre-release copies which some readers may have got before April. The previous edition was on PyTorch Lightning version 1.1.x or 1.0.x. However as we neared the launch, it became clear that with the PyTorch Lightning 1.5.x release, a lot of framework has undergone functional changes including callbacks & key capabilities. While the code could have worked in isolation by installing correct packages; in order to have better experience for the readers, we have decided to delay the release and upgrade all the content to 1.5.x and release a revised edition. This is to ensure that all the latest features of new framework releases are correctly captured which makes applications in Deep Learning even easier.
To this effect we have changed the release date for the book in the USA on Amazon. The book was not released in the USA during this time.However, somehow that change was not reflected in some countries and couple of pre-orders were released for the previous version of the book.
In case any has got the copy of the book prior to the April, Me and Publisher would be happy to send you a free revised copy as a replacement for your previous order. Doing so directly via Amazon turned out to be a challenge since Amazon does not share customer data. If you can forward your order info along with your contact details to the publisher email id at Gebin George; then we would be glad to send the copy of revised edition.
As always we appreciate your feedback, so please do share if you come across any new issues. You can always reach me at Kunal
Thanks & Regards,
Kunal S
[Along with Shivam Solanki and Amit]
Dear Reader
Thanks a lot for showing your interest and trust in the book. The revised edition of the book is ready and it is more than just a code upgrade to PL 1.5.x
This revised edition is different from the previous pre-release copies which some readers may have got before April. The previous edition was on PyTorch Lightning version 1.1.x or 1.0.x. However as we neared the launch, it became clear that with the PyTorch Lightning 1.5.x release, a lot of framework has undergone functional changes including callbacks & key capabilities. While the code could have worked in isolation by installing correct packages; in order to have better experience for the readers, we have decided to delay the release and upgrade all the content to 1.5.x and release a revised edition. This is to ensure that all the latest features of new framework releases are correctly captured which makes applications in Deep Learning even easier.
To this effect we have changed the release date for the book in the USA on Amazon. The book was not released in the USA during this time.However, somehow that change was not reflected in some countries and couple of pre-orders were released for the previous version of the book.
In case any has got the copy of the book prior to the April, Me and Publisher would be happy to send you a free revised copy as a replacement for your previous order. Doing so directly via Amazon turned out to be a challenge since Amazon does not share customer data. If you can forward your order info along with your contact details to the publisher email id at Gebin George; then we would be glad to send the copy of revised edition.
As always we appreciate your feedback, so please do share if you come across any new issues. You can always reach me at Kunal
Thanks & Regards,
Kunal S
[Along with Shivam Solanki and Amit]