Module 5: Advanced Generative Adversarial Networks
Deep dive into advanced GAN architectures and applications. Case studies
Module 4: Generative Adversarial Networks with Python
Introduction to GANs. Hands-on project: Building GANs using Python. Techniques
Module 3: Introduction to CNNs & RNNs
Understanding CNNs and their applications. Hands-on project: “What’s that Pet?”
Module 2: Introduction to Deep Learning & TensorFlow
Basics of deep learning. Introduction to TensorFlow as a tool
Module 1: Machine Learning and Industry Use Cases
Overview of machine learning applications in various industries. Discussion on
