What will i learn?
- Understand how to feed own data to deep learning models (i.e. handling the notorious shape mismatch issue)
- Understand and code Convolutional Neural Networks as well as graph-based deep models involving residual connections and inception modules
- Be able to run deep learning models with Python
Curriculum for this course
43 Lessons
12:00:46 Hours
Requirements
- It is for senior undergrad and first year grad students beginning in the field of deep learning.
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Description
Deep Learning is currently enabling numerous exciting
applications in speech recognition, music synthesis, machine translation,
natural language understanding, and many others. AI is transforming multiple
industries.
After finishing this course, you will likely find creative ways
to apply it to your work. We will help you master Deep Learning, understand how
to apply it, and build a career in AI.
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