PyTorch Learning Path
Learn how to develop deep learning models in PyTorch with Python
Getting Started with PyTorch
Welcome to the “Getting Started with PyTorch” section! This module is your launchpad into the world of PyTorch, the dynamic open-source framework for deep learning. From grasping core tensor concepts to constructing your initial neural network, this section equips you with vital skills for your AI and machine learning endeavors. Let’s dive in and unleash the power of PyTorch!
Develop Deep Learning Models with PyTorch
Get an entire overview of how to develop deep learning models in PyTorch using an end-to-end project.
Working with Data in PyTorch
Within this module, you’ll master the art of handling data using the PyTorch framework. From importing datasets to creating efficient data loaders, you’ll gain essential skills for preprocessing, augmenting, and managing data flows in the context of deep learning. Join us in this journey to elevate your data manipulation prowess and amplify your PyTorch capabilities!
Understanding PyTorch Tensors
Understand the fundamental building blocks of PyTorch models: the PyTorch Tensor.
Using PyTorch Datasets to Structure Data
Learn how to structure your data using PyTorch Datasets, which add helpful methods to your data.
Batching Data with PyTorch DataLoaders
Learn how to easily batch your deep learning workflow by using DataLoaders to create iterables.
PyTorch AutoGrad for Automatic Differentiation
Learn how PyTorch implements automatic differentiation using the autograd package, allowing you to easily backpropagate through your models to update their parameters.
Transform Your Data with PyTorch
This module delves into the powerful techniques of data augmentation, normalization, and custom transformation pipelines within the PyTorch framework. By mastering these skills, you’ll enhance the quality and diversity of your data, leading to more robust and effective machine learning models. Let’s embark on this transformative journey and unlock the full potential of your data using PyTorch!
Understanding PyTorch Transforms
Transform your data in PyTorch using common transformations in structured ways.
PyTorch Activation Functions for Non-Linear Patterns
Learn about how PyTorch activation functions allow you to find non-linear patterns in your data.
Building Deep Learning Models with PyTorch
In this module, you’ll ascend to the next level of expertise by mastering the creation and training of deep learning models using PyTorch. From designing intricate neural architectures to optimizing their performance, you’ll gain hands-on experience in crafting cutting-edge solutions for a variety of tasks. Join us on this exciting journey to unlock the art of building powerful and innovative deep learning models with PyTorch!
Linear Regression in PyTorch
Develop linear regression models in PyTorch using streamlined approaches.
Convolutional Neural Networks for Computer Vision
Build computer vision models using a hands-on tutorial on convolutional neural networks.
Transfer Learning in PyTorch
Learn how to quickly build deep learning models by standing on the shoulders of giants (or at least the models they’ve already built!).