Sorry if this sounds rude: how different is your book over the other Manning book "Deep Learning with Python, 2nd Edition" by François Chollet? I'm sure there's enough room for another TensorFlow book, but time is a scarce commodity these days. I wonder if both books are complementary to each other.
Thank you for the warm wishes. And this questions is a totally valid question (nothing rude about it).
We don't have direct contact with other authors, but we do an market analysis before starting on a new book. I guess the key difference would be that,
TensorFlow 2 in Action - TensorFlow is a pretty big library (it's in fact an eco system). This book focuses on all the common APIs that will be using while using TensorFlow. This includes Keras, tf.data API, tensorboard, various optimizations etc. However it still covers all the cool deep learning techniques, CNNs, / LSTMs / Seq2Seq and Transformers
Deep Learning with Python - While covering other aspects, this mostly focuses on the modelling aspect of TensorFlow (e.g. building deep learning models). Also I'm not sure what the coverage on Transformers going to be for Deep Learning with Python (you'll have to wait and see )
Furthermore, the writing style of different authors can have a massive difference too. For example, when I teach, I like to show the wrong way of doing things too. I believe this is a great way to show some common errors that readers might encounter and say "Ah! I did see this error before". This helps the reader to interpret and fix errors quickly.
PhD | Senior Data Scientist | AI/ML Educator