PyTorch Recipes : A Problem-Solution Approach

PyTorch Recipes A Problem-Solution Approach

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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Detalles Bibliográficos
Autor principal: Mishra, Pradeepta. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2019.
Edición:1st ed. 2019.
Materias:
Python (Computer program language).
Big data.
Python.
Big Data.
Big Data/Analytics.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630494706719
Tabla de Contenidos:
  • 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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