(3/4/2020)
Implemented a Neural Network to classify a given image as either a Horse or a Human.
(4/4/2020)
Implemented a Neural Network to Transfer Style from one image to another.
(6/4/2020)
Implemented Gradient Descent Algorithm using Traditional methods. Done as a part of my Nanodegree.
(8/4/2020)
Implemented Sentiment Analusis on Movie Review Dataset using Neural Networks based on traditional approach.
(12/4/2020)
Implemented image classification of handwritten digits of MNIST Dataset using the Pytorch framework.
(13/4/2020)
Implemented image classification of Fashion MNIST Dataset using the Pytorch framework.
(14/4/2020)
Implemented image classification of CIFAR-10 Dataset using the Pytorch framework.
(15/4/2020)
Implemented Autoencoding process on MNIST Dataset using Pytorch.
(17/4/2020)
Implemented a Autoencoder to Denoise an image.
(18/4/2020)
Implemented a basic RNN to predict time series.
(19/4/2020)
Implemented a Char-RNN using the LSTM Architecture to generate new texts.
(22/4/2020)
Implemented a RNN model to Generate TV Scripts.
(24/4/2020)
Implemented a Day-Night Image classifier with OpenCV.
(25/4/2020)
Implemented Face and Eye Detection using Harr Cascades Algorithm in OpenCV.