This is the repository for The Deep Learning with PyTorch Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.

To get started with the project files, you'll need to:

1. Install Jupyter on Windows, Mac, Linux
2. Install Anaconda on Windows, Mac, Linux
3. Install PyTorch on Windows, Mac, Linux

With The Deep Learning with PyTorch Workshop hands-on, self-paced guide, you'll explore crucial deep learning topics and discover the structure and syntax of PyTorch. Challenging activities and interactive exercises will keep you motivated and encourage you to build intelligent applications effectively.

• Explore the different applications of deep learning
• Understand the PyTorch approach to building neural networks
• Create and train your very own perceptron using PyTorch
• Solve regression problems using artificial neural networks (ANNs)
• Handle computer vision problems with convolutional neural networks (CNNs)
• Perform language translation tasks using recurrent neural networks (RNNs)

If you've found this repository useful, you might want to check out some of our other workshop titles:

• The Deep Learning Workshop
• The Deep Learning with Keras Workshop
• The Applied TensorFlow and Keras Workshop