anassBelcaid/deeplearningCoder1

My notes and homeworks on the excelent course deep learning for coders

Deep Learning With Fast AI

Deep Learning part 1

1. Lesson 1:

• Fine Classification

2. Lesson 2

• Data Preparation and Clearning
• linear regression with Pytorch

3. Lesson 3:

• data_block API
• MultiLabel Classification
• Image Segmentation for the camvid dataset
• Berkley Segmentation datat using datablock

4. lesson4:

• IMDB sentiment analysis
• Tabular Data
• Collaborating filtering

5. Lesson5:

• Mnisti with SGD

6. Lesson6:

• clearning rossmann data
• Tabular Data Learner Rosmann
• Pets Revisited

7. Lesson7:

• Residual block for Mnist
• Generative Adversarial network for super resolution

Numerical Linear algebra

1. [Topic modeling](./nbs/numerical_linear_algebra/2. Topic Modeling with NMF and SVD.ipynb) 1.1 NMF with pytorch

2. Background removal with Robust PCA 2.1 Load a movie data 2.2 SVD 2.3 Principal Component Analysis (PCA) 2.4 L1 norm induces sparscity 2.5 Robust PCA