PyTorch Recipes A Problem-Solution Approach

PyTorch Recipes A Problem-Solution Approach / by Pradeepta Mishra.

Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a lo...

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Bibliographic Details
Main Author: Mishra, Pradeepta (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
Edition:1st ed. 2019.
Series:Springer eBook Collection.
Subjects:
Python (Computer program language).
Big data.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Chapter 1: Introduction PyTorch, Tensors, Tensor Operations and Basics
  • Chapter 2: Probability distributions using PyTorch
  • Chapter 3: Convolutional Neural Network and RNN using PyTorch
  • Chapter 4: Introduction to Neural Networks, Tensor Differentiation
  • Chapter 5: Supervised Learning using PyTorch
  • Chapter 6: Fine Tuning Deep Learning Algorithms using PyTorch
  • Chapter 7: NLP and Text Processing using PyTorch.

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