/AI-Trainee---Week_5

work done on the fifth week of AI Traineeship

Primary LanguageJupyter Notebook

Multilayer Perceptron

Dataset Used: EMNIST Dataset

Topics Covered:

  1. Multilayer Perceptron Model Building and Training
  2. Introduce Batch Normalization and Layer Normalization Strategy for better model convergence
  3. Introduce Dropout
  4. Manual Backpropagation through all the layers. [Batch Normalization, Layer Normalization]
  5. Also used Pytorch built-in functionality to perform all these above mentioned works.