Description

Course Overview:
This advanced course focuses on deep learning, a subfield of machine learning. You'll learn about neural networks, backpropagation, and deep architectures like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), which are at the heart of modern AI breakthroughs.

Course Curriculum:

• Introduction to Deep Learning: Neural networks, their architecture, and how they mimic the human brain.
• Backpropagation: Understanding how networks learn through backpropagation and gradient descent.
• Feedforward Neural Networks: Structure and training of basic neural networks.
• Convolutional Neural Networks (CNNs): Architecture, pooling layers, and CNN applications in image recognition.
• Recurrent Neural Networks (RNNs): Working with sequential data for tasks like natural language processing.
• Generative Models: Introduction to Generative Adversarial Networks (GANs).
• Hands-on Exercises: Building deep learning models with Keras and TensorFlow.

Skills Gained:
Deep learning techniques, neural network design, image and text processing using deep learning, hands-on deep learning projects.