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PyTorch Fundamentals

Microsoft via Microsoft Learn

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Overview

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Module 1: Learn how to build machine learning models with PyTorch

In this module you will:

Learn the key concepts used to build machine learning models
Learn how to build a Computer Vision model
Build models with the PyTorch API

Module 2: Learn how to perform different computer vision tasks using PyTorch.

In this module you will:

Learn how to build computer vision machine learning models
Learn how to represent images as tensors
Learn how to build Dense Neural Networks and Convolutional Neural Networks

Module 3: Learn how to handle language and solve natural language processing tasks with PyTorch

In this module you will:

Understand how text is processed for natural language processing tasks
Get introduced to Recurrent Neural Networks (RNNs) and Generative Neural Networks (GNNs)
Learn about Attention Mechanisms
Learn how to build text classification models

Module 4: Learn how to do audio classification with PyTorch.

In this module you will:

Learn the basics of audio data
Learn how to visualize and transform audio data
Build a binary classification speech model that can recognize "yes" and "no"

Syllabus

Module 1: Introduction to PyTorch

Introduction
What are Tensors?
Load data with PyTorch Datasets and DataLoaders
Transform the data
Building the model layers
Automatic differentiation
Learn about the optimization loop
Save, load, and run model predictions
The full model building process
Summary

Module 2: Introduction to Computer Vision with PyTorch

Introduction
Introduction to processing image data
Training a simple dense neural network
Training a multi-Layered perceptron
Use a convolutional neural network
Use a pre-trained network with transfer learning
Solving vision problems with MobileNet
Summary

Module 3: Introduction to Natural Language Processing with PyTorch

Introduction
Representing text as Tensors
Represent words with embeddings
Capture patterns with recurrent neural networks
Generate text with recurrent networks
Attention models and transformers
Check your knowledge
Summary

Module 4: Introduction to Audio Classification with PyTorch

Introduction
Understand audio data and concepts
Audio transforms and visualizations
Build the speech model
Summary

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