Discover wolfapple/CarND-Behavioral-Cloning-Project Open Source

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Created almost 8 years ago
Updated over 7 years ago

wolfapple

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Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.

traffic-sign-recognition

Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.

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resty_atp

Ruby

CarND-Vehicle-Detection

Detect and track vehicles using color and gradient features and a support vector machine classifier.

Jupyter Notebook

CarND-Traffic-Sign-Classifier-Project

Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting.

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CarND-Semantic-Segmentation

Labeled the pixels of a road in images using a Fully Convolutional Network (FCN).

Python

wolfapple/CarND-Behavioral-Cloning-Project

wolfapple

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