Stanford Unsupervised Feature Learning and Deep Learning Tutorial
-
Updated
Jun 7, 2014 - Python
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
Digit recognition using deep learning (convolutional neural networks)
Convolutional Neural Networks for Object Classification done as a course project for CS663 Digital Image Processing
CNN implemented using Numpy in Python
Image Classification with CNN
Uses a convolutional neural network to saturate black and white videos.
A list of papers I used for my thesis about convolutional neural networks and batch normalization
Tools: Python (OpenCV 3.0 + Keras lib-Convolution 2D Neural Network). Desc: Research project at Soft Computing course.
Assignments for Special Topics in Signal Processing Course @ International Islamic University Islamabad, Spring 2016
Deep Neural Networks for Web Page Information Extraction
Pedestrian detection with convolutional neural networks
CNN for Automatic Data Collection and Filtering
Digit recognition with Convolutional Neural Networks in WebGL
Data Science Game 2016 Qualification Round Solution
Udacity Nanodegree Capstone Project: Multiple digit recognition from google street view housing number data
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
Convolutional Neural Network for Click-Through Rate prediction.
Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
This script evaluates the sensitivity of VGG-16 to occlusion using Keras
Add a description, image, and links to the convolutional-neural-networks topic page so that developers can more easily learn about it.
To associate your repository with the convolutional-neural-networks topic, visit your repo's landing page and select "manage topics."