Course Information
- 8 Nov 2024 (Fri) 6:45 PM - 9:45 PM
Course Overview
This course is an introducion to Deep Learning, a branch of Machine Learning in development and applications of Modern Neural Networks. Topics include:1) Deep Learning (DL) basics; 2) Math review, Learning in Neural Networks, Backpropagation; 3) Keras/TensorFlow; 4) CNNs, RNNs, Deep Belief Nets; 5) Neural Turing Machines, Unsupervised DL; 6) Deep Reinforcement Learning; 7) DL Applications reviews.
What You’ll Learn
Topics include:
1) Deep Learning (DL) basics;
2) Math review, Learning in Neural Networks, Backpropagation;
3) Keras/TensorFlow;
4) CNNs, RNNs, Deep Belief Nets;
5) Neural Turing Machines, Unsupervised DL;
6) Deep Reinforcement Learning;
7) DL Applications reviews.