This course provides a concise introduction to the fundamental concepts in deep learning and popular deep learning algorithms. We will cover the standard and most popular supervised learning
In the course, we will discuss various issues related to the application of deep learning algorithms. The course will be accompanied by hands-on problem solving with programming and some tutorial sessions.
Module 1 | Linear Algebra For Machine and Deep Learning | |
Module 2 | Deep Learning | |
Module 3 | ANN | |
Module 4 | Introduction To Tensorflow | |
Module 5 | Introduction To Keras | |
Module 6 | Advanced topics |
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