Googles Deep-Net Inception-v3 retrained on Trump pictures
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Updated
Feb 4, 2017
Googles Deep-Net Inception-v3 retrained on Trump pictures
Implementation of building blocks to Convolutional Neural Network. Exercises and solution to Andrej Karpathy's Deep Learning course.
Train a neural network to recognize traffic signs
Traffic Sign Recognition by Convolutional Neural Network (TensorFlow)
Train a self-driving car to mimic examples of human driving
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Udacity Nanodegree - Deep Learning - Projects: Convolutional Neural Networks, Recurrent Neural Networks, and Generative Adversarial Networks
Udacity CarND Behavioral Cloning Project, Python, Tensorflow, Keras
A CNN that learns how to pronounce Chinese characters.
Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"
Labeled the pixels of a road in images using a Fully Convolutional Network (FCN).
A neural network written in python using tensorflow designed to solve sudoku problems.
Project Repository of my Summer Research Project - Zero Shot Learning for object recognition
Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network
Convolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.
The Deep Learning Specialization from Coursera
Project developed as coursework for Udacity "Deep Learning Fundamentals" Nanodegree
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