Build a Generative Adversarial Neural Network with Tensorflow and Python - Deep Learning Projects

Learn to build a Generative Adversarial Neural Network (GAN) from scratch using Python and TensorFlow in this comprehensive tutorial video. Dive into the world of deep learning as you set up your environment, visualize data, construct a data pipeline, design neural networks, implement a custom training loop, and generate synthetic images. Follow along with provided code and step-by-step instructions to create your own GAN for generating new synthetic datasets. Gain hands-on experience in deep learning project development and enhance your skills in Python programming and TensorFlow implementation.

Syllabus

- Start
- Explainer
- PART 1 - Setup Environment
- Breakdown Board
- PART 2 - Visualize data and Build Data Pipeline
- PART 3 - Build the Neural Networks
- PART 4 - Build a Custom Training Loop
- PART 5 - Generating Images
- Ending