This github repository has three major jupyter notebooks namely.
- The objective of this jupyter notebook is to define,compile and evaluate a single layer convolutional neural network model using keras as the frontend and tensorflow as backend.
- The objective of this jupyter notebook is to perform embedding and data visualisation using tensorboard and perform multiple tuning of parameters of t-SNE and PCA algorithms to better visualise the data and get more insight of this fashion MNIST database.For this we used a sample of 2500 images from the 10000 test dataset.
- The objective of this jupyter notebook is to define,compile & evaluate a 3 layer convolutional neural network(CNN) model and Visualise the validation accuracy and validation loss