This course covers topics such as getting started with deep learning, shallow neural networks, deep networks, sequence models, convolutional networks, industry applications of deep learning, and advanced deep learning topics. The course aims to teach students the fundamentals of deep learning using TensorFlow. The teaching method includes video lectures, readings, quizzes, and a final exam. This course is intended for individuals interested in learning about deep learning and its applications in the enterprise context.
Overview
Syllabus
Week 1: Getting Started with Deep Learning
Week 2: Shallow Neural Networks
Week 3: Deep Networks and Sequence Models
Week 4: Convolutional Networks
Week 5: Industry Applications of Deep Learning
Week 6: Advanced Deep Learning Topics
Week 7: Final Exam
Taught by
Markus Noga, Daniel Dahlmeier and Karthik Muthuswamy
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Reviews
2.0 rating, based on 1 Class Central review
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Dummie VariableI think this course wanted too much in too little time. As a beginner, a lot of expert terms are simply thrown at you and the explanations just confuse you. As a result, you catch a lot of keywords but don't really get a big picture. For an intermediate, the course never dives deep enough for you to understand the math and intuition behind everything. The course is stuck somewhere in the middle, too complicated for the beginner and too shallow for the ones who would like to understand the models.
