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S# Lecture Course Institute Instructor Discipline
101
Lecture 7 Training Neural Networks II
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
102
Lecture 8 Deep Learning Software
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
103
Lecture 9 CNN Architectures
Convolutional Neural Networks for Visual Recognition (Stanford) Stanford Fei-Fei Li, Justin Johnson, Serena Yeung Applied Sciences
104
Lecture 1 – Class Introduction and Logistics (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
105
Lecture 10 – Chatbots / Closing Remarks (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
106
Lecture 2 – Deep Learning Intuition (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
107
Lecture 3 – Full-Cycle Deep Learning Projects (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
108
Lecture 4 – Adversarial Attacks / GANs (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
109
Lecture 5 – AI + Healthcare (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
110
Lecture 6 – Deep Learning Project Strategy (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
111
Lecture 7 – Interpretability of Neural Network (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
112
Lecture 8 – Career Advice / Reading Research Papers (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
113
Lecture 9 – Deep Reinforcement Learning (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
114
Lecture 1 – Class Introduction and Logistics (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
115
Lecture 10 – Chatbots / Closing Remarks (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
116
Lecture 2 – Deep Learning Intuition (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
117
Lecture 3 – Full-Cycle Deep Learning Projects (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
118
Lecture 4 – Adversarial Attacks / GANs (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
119
Lecture 5 – AI + Healthcare (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
120
Lecture 6 – Deep Learning Project Strategy (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
121
Lecture 7 – Interpretability of Neural Network (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
122
Lecture 8 – Career Advice / Reading Research Papers (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
123
Lecture 9 – Deep Reinforcement Learning (Stanford)
Deep Learning (Stanford) Stanford Prof. Dr. Andrew Ng, Kian Katanforoosh Applied Sciences
124
A Brief History of Data Visualization (Stanford)
Human Computer Interaction Seminar (2009-2010) (Stanford) Stanford Lukas Biewald Applied Sciences
125
Aesthetic Science of Color (Stanford)
Human Computer Interaction Seminar (2009-2010) (Stanford) Stanford Lukas Biewald Applied Sciences