Name: Deep Learning with PyTorch: Guide for Beginners and Intermediate (en Inglés)
Price: 306.56 MXN
Availability: InStock
Author: P, Jerry N.
ISBN: 9781795409209

Envío gratis

portada Deep Learning with PyTorch: Guide for Beginners and Intermediate (en Inglés)

Formato

Libro Físico

Autor

Jerry N. P

Editorial

Independently Published

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.5 cm

Peso

0.14 kg.

ISBN13

9781795409209

Categorías

Lenguajes de programación scripting

Deep Learning with PyTorch: Guide for Beginners and Intermediate (en Inglés)

Jerry N. P (Autor) · Independently Published · Tapa Blanda

Libro Físico

$ 306.56

$ 557.39

Ahorras: $ 250.83

45% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 14 de Junio y el Jueves 27 de Junio.

Lo recibirás en cualquier lugar de México entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Deep Learning with PyTorch: Guide for Beginners and Intermediate (en Inglés)"

This book is an exploration of deep learning in Python using PyTorch. The author guides you on how to create neural network models using PyTorch in Python. You will know the initial steps of getting started with PyTorch in Python. This involves installing PyTorch and writing your first code. PyTorch works using the concept of graphs. The author helps you know how build neural network graphs in PyTorch. Deep learning in Python with PyTorch simply involves the creation of neural network models. The author helps you understand how to create neural network models with TensorFlow. 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 PyTorch 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 PyTorch for Deep Learning?- Getting Started with PyTorch- Building a Neural Network- Loading and Processing Data- Convolutional Neural Networks- Transfer Learning- Developing Distributed Applications- Word Embeddings- Moving a Model from PyTorch to Caffe2- Custom C Extensions- Neural Transfer with PyTorchTags: pytorch deep learning, python programming, python, python data science handbook, neural network python, tensorflow python, tensorflow for deep learning, python code programming.