manishchumun Goto Github PK

autoencoder

Examples of Autoencoders (simple and convolutional) using MNIST dataset

awesome-customer-analytics

A curated list of awesome customer analytics content

blockchain-programming

Links to online resources about cryptocurrency and decentralized application development

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

face_generation

This is my project submission for the Deep Learning Foundation Nanodegree from Udacity. In this project, I use a generative adversarial network (GAN) to generate new images of faces.

image-classification

A convolution network to classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs, cats, and other objects. The dataset was preprocessed, then a convolutional neural network on all the samples was trained. Includes normalization of the images, one-hot encode the labels, build a convolutional layer, max pool layer, and fully connected layer.

intro-to-tensorflow

This was part of Deep Learning Foundation Nanodegree Course with Udacity. Here I create a simple single layer neural network in Tensorflow. I implement data normalisation and then build and train the network with Tensorflow.

language_translation

This is my project submission for the Deep Learning Foundation Nanodegree from Udacity. In this project, I use a Recurrent Neural Network (RNN) to train a sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French.

learn_blockchain_in_2_months

This is the code for "Learn Blockchain in 2 Months" by Siraj Raval on Youtube

learn_math_fast

This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube

learning-r

machine-learning-coursera

The repo contains my work from the Machine Learning course taught by Andrew Ng on Coursera. Each folder in turn contains the assignments and submissions that were part of the course.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

my_first_neural_network

Udacity Deep mind assignment. Building a simple neural network for predicting bike sharing rides from a real dataset

recipes

reflections

Udacity github

rig3

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tv-script-generation

This is my project submission for the Deep Learning Foundation Nanodegree from Udacity. In this project, I generate your own Simpsons TV scripts using RNNs. I use part of the Simpsons dataset of scripts from 27 seasons. The Neural Network built generate a new TV script for a scene at Moe's Tavern.

weight_initialisation

The notebook analyses the effect on initialising weights with good and bad values. Initialising weights with good values can help a neutral network arrive at the optimal solution quicker. This notebook was used for explaining the importance of proper weight initialisation in my Udacity Deep Learning Foundation Nanodegree.