GANS-text2image_Project

Repository
This repository documents the submissions of assignments and final projects of the SNT Summer project named: GANS: Text2image

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Week wise contents

Week 1

• Basic Python
  • Numpy
  • Pandas and
  • Matplotlib Libraries
• Introducting to ML
  • Basic idea of perceptrons and forward propagation
• Assignment (here)
  • Basics of Python

Week 2

• Introduction of Tensorflow

• Focusing on Implementation
• sample codes and tutorials

• Gradient Descent

  • Maths Behind this
  • Applicationa and demonstration

• Neural Networks

  • Introduction of layers
  • Hidden layers
  • Intuition of training through deep layers
  • Demonstraion with MNIST digit classification

• Assignment(here) - GDregressor on Sklearn dataset - R2score to analyse the model - Other aspects of coding through subtle questions in assignment itself

Week 3

• Convolutional Neural Network

• Introduction of kernel and filters
• Convolution process
• Input and output shape after convolution
• padding, strides,etc

• Training

  • Overfitting and Underfitting
  • Hyperparameter Tuning

• Data Augmentation

  • Subtle introduction through experiments in assignments only
  • Implementation on CIFAR Dataset

• Assignment(here)

  • Analyzing Fashion MNIST dataset
  • Classification with Dense models

• Further Inprogress assignment for more experimenting and exploration:

  • Assignment 4 part_A