Book Image

Deep Learning with TensorFlow 2 and Keras - Second Edition

By : Antonio Gulli, Amita Kapoor, Sujit Pal
Book Image

Deep Learning with TensorFlow 2 and Keras - Second Edition

By: Antonio Gulli, Amita Kapoor, Sujit Pal

Overview of this book

Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You’ll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow 2 provides full Keras integration, making advanced machine learning easier and more convenient than ever before. This book also introduces neural networks with TensorFlow, runs through the main applications (regression, ConvNets (CNNs), GANs, RNNs, NLP), covers two working example apps, and then dives into TF in production, TF mobile, and using TensorFlow with AutoML.
Table of Contents (19 chapters)
17
Other Books You May Enjoy
18
Index

References

  1. Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python, Paperback – 26 Apr 2017, Antonio Gulli, Sujit Pal
  2. TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python, Antonio Gulli, Amita Kapoor
  3. Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) https://www.kdnuggets.com/2018/12/deep-learning-major-advances-review.html
  4. ImageNet Classification with Deep Convolutional Neural Networks, Krizhevsky, Sutskever, Hinton, NIPS, 2012
  5. From not working to neural networking, The Economist https://www.economist.com/special-report/2016/06/23/from-not-working-to-neural-networking
  6. State-of-the-art Image Classification on ImageNet https://paperswithcode.com/sota/image-classification-on-imagenet
  7. Language Models are Unsupervised Multitask Learners, Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever https://github.com/openai/gpt-2
  8. PyTorch: An open source machine learning framework that accelerates the path from research prototyping to production deployment, https://pytorch.org/
  9. State of Deep Learning and Major Advances: H2 2018 Review, https://www.kdnuggets.com/2018/12/deep-learning-major-advances-review.html