Hands-On Neural Networks with PyTorch 1.0
Neural networks are the next-generation techniques to build smart web applications, powerful image and speech recognition systems, and more. This book will be your handy guide to help you bring neural networks in your daily life using the PyTorch 1.0 offerings.
The book will start with the basics and the required concepts to understand how neural network functions. We will cover simple-to-intermediate tasks by building neural networks using real-world datasets. We will use PyTorch to implement a range of neural networks - from the simple feedforward neural networks to multilayered perceptrons, and more. You will understand how to implement cutting-edge neural network architectures such as CNN, RNN, LSTM and more using varied examples. Later you will cover real-world use-cases such as Boltzmann machine, GANs, reinforcement learning to simplify your understanding of neural networks and their implementations.
By the end of this book, you will be able to build smart AI applications or integrate neural networks into your existing applications.
|Course Length||8 hours 2 minutes|
|Date Of Publication||24 Apr 2020|