Deep Learning (Stanford)

• Lecture 1 - Class Introduction and Logistics (Stanford)
• Lecture 2 - Deep Learning Intuition (Stanford)
• Lecture 3 - Full-Cycle Deep Learning Projects (Stanford)
• Lecture 4 - Adversarial Attacks / GANs (Stanford)
• Lecture 6 - Deep Learning Project Strategy (Stanford)
• Lecture 7 - Interpretability of Neural Network (Stanford)
• Lecture 8 - Career Advice / Reading Research Papers (Stanford)
• Lecture 9 - Deep Reinforcement Learning (Stanford)
• Lecture 10 - Chatbots / Closing Remarks (Stanford)