Deep learning practice: A collection of projects completed as a part of various Deep Learning and Data Science courses.
Making sense of ML with MNIST: MNIST prediction using a softmax classifier in TensorFlow along with some insights into the learning process and mispredicted examples.
Simple edge detector: An implementation of a simple edge detector from scratch.
A Simple RNN Implemented in Tensorflow Implementing a simple RNN in Python to produce geometric progression series. Tensorflow is used to obviate the need to implement backpropagation, so that viewers can focus better on the forward pass.
Basic Generative Adversarial Network: A simple implementation of a GAN to produce a gaussian distribution.
Pathway to Data Science: A short guide to learn Data Science, for both beginner and intermediate level learners.
Developing GANs to produce biologically relevant genomics data Utility scripts