Deep Learning (2020) (M-I-T)

•  Introduction to Deep Learning (M-I-T)
• Recurrent Neural Networks (M-I-T)
• Convolutional Neural Networks (M-I-T)
• Deep Generative Modeling (M-I-T)
• Reinforcement Learning (M-I-T)
• Deep Learning New Frontiers (M-I-T)
•  Evidential Deep Learning and Uncertainty (M-I-T)
• AI Bias and Fairness (M-I-T)
• Deep CPCFG for Information Extraction (M-I-T)
• Introduction to Deep Learning (M-I-T)
• Neurosymbolic AI (M-I-T)
• Generalizable Autonomy for Robot Manipulation (M-I-T)
• Neural Rendering (M-I-T)
• Machine Learning for Scent (M-I-T)
• Deep Learning Limitations and New Frontiers (M-I-T)
• Visualization for Machine Learning (Google Brain) (M-I-T)
• Biologically Inspired Neural Networks (IBM) (M-I-T)
• Image Domain Transfer (NVIDIA) (M-I-T)
• Sequence Modeling with Neural Networks (M-I-T)
•  Issues in Image Classification (M-I-T)
• Faster ML Development with TensorFlow (M-I-T)
• Deep Learning - A Personal Perspective (M-I-T)
• Beyond Deep Learning: Learning+Reasoning (M-I-T)
• Computer Vision Meets Social Networks (M-I-T)