Deep Learning with Pytorch: Guide for Beginners and Intermediate, Paperback/Jerry N. P

Descriere

Description This book is an exploration of deep learning in Python using Py Torch. The author guides you on how to create neural network models using Py Torch in Python. You will know the initial steps of getting started with Py Torch in Python. This involves installing Py Torch and writing your first code. Py Torch works using the concept of graphs. The author helps you know how build neural network graphs in Py Torch. Deep learning in Python with Py Torch simply involves the creation of neural network models. The author helps you understand how to create neural network models with Tensor Flow. You are guided on how to train such models with data of various types. Examples of such data include images and text. The process of loading your own data into Py Torch for training neural network models has also been discussed. You will also know how to use the inbuilt data for training your neural network models. This book will help you to understand: - Why Py Torch for Deep Learning? - Getting Started with Py Torch - Building a Neural Network - Loading and Processing Data - Convolutional Neural Networks - Transfer Learning - Developing Distributed Applications - Word Embeddings - Moving a Model from Py Torch to Caffe2 - Custom C Extensions - Neural Transfer with Py Torch Tags: pytorch deep learning, python programming, python, python data science handbook, neural network python, tensorflow python, tensorflow for deep learning, python code programming.