"The book is an ambitious undertaking interweaving between Keras and core TensorFlow libraries. The book delves into complex themes and libraries like Sonnet, distributed TensorFlow with TF Clusters, deploying production models with TensorFlow Serving, TensorFlow mobile and TensorFlow for embedded devices.

In that sense, this is an advanced book. But the author covers deep learning models such as RNN, CNN, autoencoders, generative adversarial models and deep reinforcement learning through Keras.

Armando has clearly drawn upon his experience to make this complex journey easier for readers"

--Ajit Jaokar, Data Science for IoT Course Creator and Lead Tutor at the University of Oxford / Principal Data Scientist

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