Deep Learning & Neural Networks

Course Overview

Master deep learning and neural network architectures using TensorFlow and PyTorch. Learn to build, train, and deploy sophisticated AI models for complex tasks.

What You Will Learn

• Neural network fundamentals: perceptrons, backpropagation, and activation functions
• Convolutional Neural Networks (CNNs) for image recognition
• Recurrent Neural Networks (RNNs) and LSTMs for sequential data
• Transfer learning and pre-trained model fine-tuning
• Generative models: GANs and autoencoders
• Model optimization: regularization, dropout, and batch normalization
• GPU acceleration and distributed training

Course Highlights

Build deep learning models for computer vision, natural language processing, and generative AI applications. The programme includes hands-on projects using both TensorFlow and PyTorch frameworks.