Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François …

If you’re a data scientist familiar with machine learning, this book will provide you with a solid, practical introduction to deep learning, the fastest-growing and most significant subfield of …

Deep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator …

Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added …

Deep Learning with Python is meant for engineers and students with a reasonable amount of Python experience, but no significant knowledge of machine learning and deep learning. It will …

Deep Learning with Python is meant for engineers and students with a reasonable amount of Python experience, but no significant knowledge of machine learning and deep learning. It will …

Create neural networks and deep learning systems with PyTorch. Discover best practices for the entire DL pipeline, including the PyTorch Tensor API and loading data in Python.

Throughout this book we will cover essential deep learning concepts that every practitioner should know. In parallel, we will navigate through the features of PyTorch, an open source deep …

7.2. Inspecting and monitoring deep-learning models using Keras callbacks and TensorBoard

We’ll give you a quick introduction to Keras, the Python deep-learning library that we’ll use throughout the book. You’ll set up a deep-learning workstation, with TensorFlow, Keras, and …