Deep Learning Fundamentals

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What Will You Learn?

In this crash course, you will quickly grasp the fundamentals of Deep Learning, exploring key topics in data science such as the essence of Deep Learning, the significance of convolutional neural networks, and the versatile applications of deep learning. Join the rapidly expanding field of data science and kickstart your journey into neural networks with a simplified explanation, providing an ideal starting point for those eager to delve into this dynamic and influential domain.

About This Course

Provider: Cognitiveclass
Format: Online
Duration: 3 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: By the end, you will have a foundational understanding of Deep Learning, convolutional neural networks, and their powerful applications in data science.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: Cognitiveclass
Key Topics: Data Science, Machine Learning, Deep Learning
Topic Covered: 
  1. - Deep Learning Concepts
  2. - What is a neural network?
  3. - Why Deep Learning?
  4. - How to choose between deep neural networks?
  5. - An old problem: The Vanishing Gradient
  6. - Restricted Boltzmann Machines
  7. - Deep Belief Networks
  8. - Deep Learning Concepts Continued
  9. - Convolutional Networks
  10. - Recurrent Nets
  11. - Autoencoders
  12. - Recursive Neural Tensor Nets
  13. - Deep Learning Use Cases
  14. - Platforms for Deep Learning
  15. - What is a Deep Learning Platform?
  16. - H2O.ai
  17. - Dato GraphLab
  18. - Deep Learning Software Libraries
  19. - What is a Deep Learning Library?
  20. - Theano
  21. - Deeplearning4j
  22. - Torch
  23. - Caffe

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