CS501-Deep-Learning-Complete-Course

CS501 - Deep Learning Complete Course Computer Science 501: Deep Learning Complete Course Welcome to CS501, a comprehensive course designed to provide an in-depth understanding of Deep Learning. This course also includes a Python crash course to ensure all participants are well-versed in Python, the primary language used for deep learning applications. Instructor Dr. Saad Laouadi Email: dr.saad.laouadi@gmail.com Course Overview CS501 covers foundational and advanced concepts of Deep Learning, including: Introduction to Python for Deep Learning Neural Networks and Backpropagation Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) and LSTM Deep Reinforcement Learning Practical applications using popular libraries such as TensorFlow and PyTorch The Python crash course is designed to help students: Master basic to advanced Python syntax Understand Python’s data structures and libraries Develop a strong foundation for implementing deep learning models Course Format Theoretical lectures covering core and advanced concepts in Deep Learning Hands-on coding sessions to apply the knowledge in real-time