This advanced course focuses on recent developments in deep learning with neural networks, including CNNs, RNNs, and Deep Reinforcement Learning networks. The course emphasizes applications in computer vision and natural language processing (NLP), where neural networks have driven significant advancements, sparking both academic and commercial interest. Students will explore the mathematical foundations of these models and their associated optimization algorithms. Topics include applications in NLP, such as analyzing latent dimensions in text, language translation, and question answering, providing a thorough understanding of cutting-edge techniques in deep learning.