Neural Networks

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  1. 822 pages
    The Reinforcement Learning Workshop
    August 2020
    Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning, deep recurrent Q-networks, and policy-based methods with this practical guide
  2. 2 hours 13 minutes
    Hands-On TensorBoard for PyTorch Developers [Video]
    March 2020
    Build better PyTorch models with TensorBoard visualization
  3. 5 hours 50 minutes
    Practical Neural Networks and Deep Learning in R [Video]
    December 2019
    Learn the implementation of both ANN & DNN using the H2O package Of R programming language
  4. 368 pages
    Hands-On Neuroevolution with Python
    December 2019
    Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and Deep Neuroevolution.
  5. 358 pages
    Hands-On Neural Networks with TensorFlow 2.0
    September 2019
    A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0
  6. 2 hours 16 minutes
    Implementing Deep Learning Algorithms with TensorFlow 2.0 [Video]
    May 2019

    Build and train Deep Learning neural networks with TensorFlow 2.0

  7. 280 pages
    Hands-On Neural Networks
    May 2019
    Design and create neural networks with deep learning and artificial intelligence principles using OpenAI Gym, TensorFlow, and Keras
  8. 272 pages
    Hands-On Generative Adversarial Networks with Keras
    May 2019
    Develop generative models for a variety of real-world use-cases and deploy them to production
  9. 462 pages
    Hands-On Neural Networks with Keras
    March 2019
    Your one-stop guide to learning and implementing artificial neural networks with Keras effectively
  10. 2 hours 47 minutes
    Hands-On Neural Network Programming with TensorFlow [Video]
    January 2019
    Create and unleash the power of neural networks using TensorFlow and deep learning concepts in a hands-on style
  11. 122 pages
    Recurrent Neural Networks with Python Quick Start Guide
    November 2018
    Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep learning with Python's most popular TensorFlow framework.
  12. 328 pages
    Hands-On Neural Network Programming with C#
    September 2018
    Create and unleash the power of neural networks by implementing C# and .Net code
  13. 2 hours 25 minutes
    Getting Started with Neural Nets in R [Video]
    July 2018
    Build and train neural network models to solve complex problems
  14. 1 hours 52 minutes
    Practical Convolutional Neural Networks [Video]
    June 2018
    Tackle all CNN-related queries with this fast-paced guide
  15. 1 hours 39 minutes
    TensorFlow for Neural Network Solutions [Video]
    March 2018
    Explore high-level concepts such as neural networks, CNN and RNN using TensorFlow.

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