Opening book details…
Can I read Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, Deep RL, Unsupervised Learning, Object Detection and Segmentation, and More, 2nd Edition on EtoBox?
Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, Deep RL, Unsupervised Learning, Object Detection and Segmentation, and More, 2nd Edition by Rowel Atienza is a science book available to read on EtoBox.
What is Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, Deep RL, Unsupervised Learning, Object Detection and Segmentation, and More, 2nd Edition about?
Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and Keras Key Features Explore the most advanced deep learning techniques that drive modern AI results New coverage of unsupervised deep learning using mutual information, object detection, and semantic segmentation Completely updated for TensorFlow 2.x Book Description Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects. Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques. Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduce
Who reads Advanced Deep Learning with TensorFlow 2 and Keras : Apply DL, GANs, VAEs, Deep RL, Unsupervised Learning, Object Detection and Segmentation, and More, 2nd Edition?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Rowel Atienza
- Publisher
- Packt Publishing, Limited; Packt Publishing
- Published
- 2020
- Language
- EN
- ISBN
- 9781838821654
- Category
- science
- Subjects
- Science, Computer Science, Stem
- Rating
- 4.6 / 5 (69 ratings)
- Updated
- 2026-03-14
More by Rowel Atienza
Browse all works by Rowel Atienza
Similar books
- Deep Learning with TensorFlow and Keras: Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models, 3rd Edition — Amita Kapoor; Antonio Gulli; Sujit Pal; Francois Chollet (2022)
- Advanced Deep Learning with Keras : Apply Deep Learning Techniques, Autoencoders, GANs, Variational Autoencoders, Deep Reinforcement Learning, Policy Gradients, and More — Rowel Atienza (2018)
- Deep Learning with TensorFlow 2 and Keras — Antonio Gulli (2019)
- Mastering TensorFlow 1.x : Advanced Machine Learning and Deep Learning Concepts Using TensorFlow 1.x and Keras — Armando Fandango (2018)
- Deep Learning for Computer Vision : Expert Techniques to Train Advanced Neural Networks Using TensorFlow and Keras — Rajalingappaa Shanmugamani (2019)
- Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python — Abhishek Nandy & Manisha Biswas (2018)