This is the repository for The Deep Learning 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:

• Install Jupyter on Windows, Mac, Linux
• Install Python on Windows, Mac, Linux
• Install TensorFlow 2.0 on Windows, Mac, Linux

With The Deep Learning Workshop, you’ll learn about essential deep learning concepts, such as image recognition, text embedding, and neural networks, all so that you can build your own smart machine learning models. You'll be able to learn at your own pace with the help of interesting activities and hands-on exercises that will keep you hooked throughout the book.

• Understand how deep learning, machine learning, and artificial intelligence are different
• Develop multilayer deep neural networks with TensorFlow
• Implement deep neural networks for multiclass classification using Keras
• Train CNN models for image recognition
• Handle sequence data and use it in conjunction with RNNs
• Build a GAN to generate high-quality synthesized images

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

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