Deep Learning with Python

A comprehensive course on deep learning, covering fundamental concepts, practical implementation with Python, and advanced techniques for real-world applications.

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Deep Learning Fundamentals and Python Setup

Unit 1: Introduction to Deep Learning

Unit 2: Python Setup for Deep Learning

Unit 3: Deep Learning Libraries: TensorFlow, Keras, and PyTorch

Neural Networks with Keras

Unit 1: Introduction to Neural Networks and Keras

Unit 2: Building Your First Neural Network

Unit 3: Training and Evaluating Neural Networks

Convolutional and Recurrent Neural Networks

Unit 1: Introduction to Convolutional Neural Networks (CNNs)

Unit 2: Data Augmentation and Transfer Learning with CNNs

Unit 3: Recurrent Neural Networks (RNNs) for Sequence Data

Unit 4: Advanced Sequence Modeling with LSTMs and GRUs

Advanced Deep Learning and NLP

Unit 1: Text Classification with CNNs

Unit 2: Text Classification with RNNs

Generative Models and Deployment

Unit 1: Variational Autoencoders (VAEs)

Unit 2: Generative Adversarial Networks (GANs)

Unit 3: Model Deployment