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Contributors

- 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.

Resources

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. Deep Learning Model Training and Optimization

3 hours

RECIPE 4. Extracting Features using Convolution

3 hours

VIDEO 5. Short intro of Conv Nets

- What is the convolution operation?
- What are the filters inside the CNN?

5 minutes

PAPER 6. Deep learning with convolutional neural network in radiology

10 minutes

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