Deep Learning with Python, Second Edition

Good book for Deep learning but one should know the basic knowledge of Numpy, Pandas and Data Visulaization and Machine Learning.

This book is not just worth its price, it is worth its weight in gold. I can't say enough good things about this book. If you are serious about deep learning, look no further, just buy it.

The best explanation you can ever have. Go for it!!

A third edition of this book is now out. But I read the second edition from start to finish, so this review is for the second edition The title of the book is "Deep Learning with Python/2nd Edition" Simply put, I learnt Deep Learning with Python. Thank you, François Chollet. Never mind that I am still not up to speed with Python. I must add that in the later stages of the book, I supplemented the reading with many ChatGPT sessions and also looked up the "Attention Is All You Need" implementation of the Transformer in GitHub (not the Huggingface libraries) for a fuller understanding. This does not in any way mean that understanding from reading just the book is below par at any stage I was just curious to know more, like the whole context in which Multi Head Attention operates within the Transformer One thing I wish all authors of books on Deep Learning would do is to explicitly give the shape of tensors flowing thru the Python code at every stage. It adds a level of clarity to the code Last I heard, the author has left Google after a decade long stint to start his own venture Much like Ilya Sutskever and the ex-CTO Mira Murati of OpenAI A book review is hardly the place for it, but here is wishing François Chollet the very best in his new endeavor. Back to the book. All in all, an excellent book if you have some knowledge of Python and high school differentiation and want to learn the raw fundamentals of Deep Learning using Python, TensorFlow and Keras (no PyTorch). Given that the author is the inventor of the Keras library I fully recommend this book Jaisimha Narahari

There is no pdf subscription option available. I followed the steps given in the book. But there is no code on the pages where they advised in the steps to subscribe pdf book.

The quality and font of the print is not for a comfortable read. The book doesn't seem to be the original version. Its all black and white no color print.

The quality of the book itself is really good. I also love the content.

It's a good book and reads well. It could use some formatting changes to make some of the content more digestible. But overall a great book.

Uno dei migliori libri in commercio di macchine learning, in particolare sul deep learning usando python e tensor flow.

Es un libro excelente, el autor explica conceptos complicados de una forma sencilla y entendible. Realmente hizo un gran trabajo de pedagogo, además estás aprendiendo del mismísimo autor de Keras, el framework más popular para machine learning. Eso sí, es importante tener conocimiento de programación y de conceptos matemáticos (cálculo, geometría, derivación, etc) ya que el Deep Learning es básicamente eso, pura matemática; vectores, matrices, operaciones vectoriales, espacios geométricos en varias dimensiones, etc. Cabe aclarar que el libro NO usa notaciones matemáticas; para darle sencillez, el autor decide usar en su lugar líneas de código que lo hacen mucho más digerible. Sin embargo, tener el conocimiento de estos conceptos te da el poder de entender lo que se está haciendo y de lo que se está hablando. PD: el libro en físico incluye todas las versiones digitales! Incluso Kindle!

2nd Edition has just what was missing…details to help you learn from scratch!!!