Courses - Deep Learning

This is an advanced course focusing on the principles and applications of deep neural networks. Participants will delve into the theoretical foundations of deep learning and explore cutting-edge techniques for training and deploying deep neural networks. Through hands-on exercises and real-world projects, participants will gain practical experience in building and optimizing deep learning models using popular frameworks such as TensorFlow and PyTorch. Topics covered include convolutional neural networks (CNNs) for image recognition, recurrent neural networks (RNNs) for sequence modeling, and generative adversarial networks (GANs) for creating synthetic data. By the end of the course, participants will have the skills and knowledge to tackle complex problems in computer vision, natural language processing, and other domains using state-of-the-art deep learning techniques.