Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
PyTorch Recipes: A Problem-Solution Approach

Buy
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 look at probability distributions using PyTorch and get acquainted with its concepts. Further you will dive into transformations and graph computations with PyTorch. Along the way you will take a look at common issues faced with neural network implementation and tensor differentiation, and get the best solutions for them. 

Moving on to algorithms; you will learn how PyTorch works with supervised and unsupervised algorithms. You will see how convolutional neural networks, deep neural networks, and recurrent neural networks work using PyTorch. In conclusion you will get acquainted with natural language processing and text processing using PyTorch.


What You Will Learn
  • Master tensor operations for dynamic graph-based calculations using PyTorch
  • Create PyTorch transformations and graph computations for neural networks
  • Carry out supervised and unsupervised learning using PyTorch 
  • Work with deep learning algorithms such as CNN and RNN
  • Build LSTM models in PyTorch 
  • Use PyTorch for text processing 
Who This Book Is For


Readers wanting to dive straight into programming PyTorch.
 
(HTML tags aren't allowed.)

C++/CLI: The Visual C++ Language for .NET
C++/CLI: The Visual C++ Language for .NET
C++/CLI: The Visual C++ Language for .NET introduces Microsoft's new extensions to the C++ syntax that allow you to target the common language runtimethe key to the heart of the .NET 3.0 platform. In 12 no-fluff chapters, Microsoft insider Gordon Hogenson takes you into the core of the C++/CLI language and explains both how the language...
Machine Learning and Robot Perception (Studies in Computational Intelligence)
Machine Learning and Robot Perception (Studies in Computational Intelligence)
This book presents some of the most recent research results in the area of machine learning and robot perception. The book contains eight chapters.

Relevant progress has been done, within the Robotics field, in mechanical systems, actuators, control and planning. This fact, allows a wide application of industrial robots, where
...
Emerging Trends in Mechanical Engineering: Select Proceedings of ICETME 2018 (Lecture Notes in Mechanical Engineering)
Emerging Trends in Mechanical Engineering: Select Proceedings of ICETME 2018 (Lecture Notes in Mechanical Engineering)

This book comprises select proceedings of the International Conference on Emerging Trends in Mechanical Engineering (ICETME 2018). The book covers various topics of mechanical engineering like computational fluid dynamics, heat transfer, machine dynamics, tribology, and composite materials. In addition, relevant studies in the allied...


fastText Quick Start Guide: Get started with Facebook's library for text representation and classification
fastText Quick Start Guide: Get started with Facebook's library for text representation and classification

Perform efficient fast text representation and classification with Facebook's fastText library

Key Features

  • Introduction to Facebook's fastText library for NLP
  • Perform efficient word representations, sentence classification, vector representation
  • ...
Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.

Key Features

  • Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and...
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Take your NLP knowledge to the next level and become an AI language understanding expert by mastering the quantum leap of Transformer neural network models

Key Features

  • Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using...
©2021 LearnIT (support@pdfchm.net) - Privacy Policy