Covers: theory of Back Propagation
Estimated time needed to finish: 111 minutes
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Getting Started With Mathematics Of Deep Learning

Contributors
Total time needed: ~7 hours
Objectives
This recipe is your starting point to understand why and how deep learning works.
Potential Use Cases
Image processing and computer vision, Natural language processing
Who is This For ?
BEGINNERData Scientists, Machine Learning Engineers
Click on each of the following annotated items to see details.
Resources5/5
VIDEO 1. Introduction: Pytorch and Linear Algebra
  • Why does deep learning work?
  • Why PyTorch?
  • Why linear algebra?
20 minutes
RECIPE 2. Foundations of Algebra for Deep Learning
2 hours
RECIPE 3. Extracting Features using Convolution
3 hours
RECIPE 4. Deep Learning Model Training and Optimization
2 hours
VIDEO 5. Short intro of Conv Nets
  • What is the convolution operation?
  • What are the filters inside the CNN?
5 minutes

Concepts Covered

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