School of Cyber Tech
Deep Learning
Rocheston's Deep Learning course delves into the concepts and applications and the different kinds of Neural Networks for supervised and unsupervised learning. Deep Learning is a critical component of AI technologies that are developed across the ...
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Course content
  • Module 1: Introduction
  • Module 2: Machine Learning Basics
  • Module 3: Deep Feedforward Networks
  • Module 4: Regularization for Deep Learning
  • Module 5: Optimization for Training Deep Models
  • Module 6: Convolutional Netwroks
  • Module 7: Sequence Modeling - Recurrent & Recursive Nets
  • Module 8: Practical Methodology
  • Module 9: Applications
  • Module 10: Autoencoders
  • Module 11: Representation Learning
  • Module 12: Structured Probabilistic Models for Deep Learning
  • Module 13: Monte Carlo Methods
  • Module 14: Confronting the Partition Function
  • Module 15: Deep Generative Models