Dive deep into the exciting world of Generative AI and Deep Learning with our comprehensive course. This program covers fundamental and advanced concepts, from the basics of PyTorch to sophisticated applications using Generative Adversarial Networks (GANs) and Variational AutoEncoders (VAEs). You will gain practical experience through projects like breast cancer prediction, flight fare prediction, and image-to-image translation. Enhance your skills and knowledge to become proficient in these cutting-edge technologies.

Key Highlights:

Generative AI, Deep Learning, and PyTorch

• Understand the core principles of generative AI and deep learning.

PyTorch Basics:

• Tensor Creation: Learn how to create and manipulate tensors

Deep Learning Concepts:

• Neural Networks: Basics of neural networks and their architecture.

Creating Basic Neural Network with PyTorch:

• Step-by-step guide to designing and implementing a neural network using PyTorch.

Convolutional Neural Networks (CNN) in PyTorch:

• Introduction to CNN: Understanding the structure and functions of CNNs.

Types of GANs and Applications: Explore different types of GANs and their use cases.

Variational AutoEncoders (VAE):

• Basics and Applications: Understand VAEs and their use cases.