Deep Learning Project to Teach a Car to Drive Autonomously Using Only Camera Images.
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Updated
Jan 15, 2017 - Python
Deep Learning Project to Teach a Car to Drive Autonomously Using Only Camera Images.
Building a network to predict steering angles from images
CNN model architecture implementations in Keras
Research project on trafiic sign recognition using deep learning and computer vision.
This is my first personal project about training a deep learning algorithm for road traffic signs recognition.
Clone driving behavior using a deep convolutional neural network (CNN).
Udacity CarND Behavioral Cloning Project, Python, Tensorflow, Keras
Udacity Self Driving Car Nanodegree - Behavioral Cloning
Use CNN to classify traffic signs
Official PyTorch and CVXPY implementation of Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
Identify traffic sign images through Supervised Classification via Deep Learning and Computer Vision using Python, Tensorflow, Jupyter and Anaconda in AWS Cloud.
In this project I have designed a Traffic Sign Classifier, which classifies German Traffic Signs.
This Repository contains TensorFlow implementation of different Image Segmentation Architecture on different types of datasets.
Chest X-Ray Image classification using PyTorch.
ElasticModels is a elasticsearch object modeling tool designed to work in and asynchronous environment. Builded for official elasticsearch client library Main inspiration was mongoose project
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
stockwatcher, a modern android development stack showcase
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