Packed fanatical deep learning in depth bundle (20 books)

1	Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras by Michael Bernico 3.33 avg rating — 3 ratings score: 100, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
2	Hands-On Neural Networks: Learn how to build and train your first neural network model using Python by Leonardo De Marchi it was ok 2.00 avg rating — 1 rating score: 99, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
3	R Deep Learning Essentials by Joshua F. Wiley 3.67 avg rating — 3 ratings score: 98, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
4	Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles by Giuseppe Ciaburro really liked it 4.00 avg rating — 2 ratings score: 97, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
5	Hands-On Deep Learning with Go: A practical guide to building and implementing neural network models using Go by Gareth Seneque really liked it 4.00 avg rating — 1 rating score: 96, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
6	Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow by Sudharsan Ravichandiran 3.79 avg rating — 14 ratings score: 95, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
7	Reinforcement Learning Algorithms with Python: Learn, understand, and develop smart algorithms for addressing AI challenges by Andrea Lonza really liked it 4.00 avg rating — 1 rating score: 94, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
8	Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras by Rajalingappaa Shanmugamani 3.53 avg rating — 15 ratings score: 93, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
9	Hands-On Reinforcement Learning with R: Get up to speed with building self-learning systems using R 3.x by Giuseppe Ciaburro really liked it 4.00 avg rating — 1 rating score: 92, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
10	TensorFlow Reinforcement Learning Quick Start Guide: Get up and running with training and deploying intelligent, self-learning agents using Python by Kaushik Balakrishnan really liked it 4.00 avg rating — 1 rating score: 91, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
11	Hands-On Deep Learning for IoT: Train neural network models to develop intelligent IoT applications by Rezaul Karim 0.00 avg rating — 0 ratings score: 90, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
12	R Deep Learning Projects: Master the techniques to design and develop neural network models in R by Yuxi (Hayden) Liu 4.67 avg rating — 3 ratings score: 89, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
13	Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games by Micheal Lanham 3.33 avg rating — 3 ratings score: 88, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
14	Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow by Sean Saito really liked it 4.00 avg rating — 1 rating score: 87, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
15	Hands-On Neuroevolution with Python: Build high-performing artificial neural network architectures using neuroevolution-based algorithms by Iaroslav Omelianenko liked it 3.00 avg rating — 2 ratings score: 86, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
16	Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras by Dipanjan Sarkar liked it 3.00 avg rating — 3 ratings score: 85, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
17	Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow by Sudharsan Ravichandiran 3.25 avg rating — 4 ratings score: 84, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
18	Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras by Kailash Ahirwar 2.25 avg rating — 4 ratings score: 83, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
19	PyTorch 1.x Reinforcement Learning Cookbook: Over 60 recipes to design, develop, and deploy self-learning AI models using Python by Yuxi (Hayden) Liu really liked it 4.00 avg rating — 2 ratings score: 82, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
20	Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more by Maxim Lapan 4.09 avg rating — 65 ratings score: 81, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars

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