Pinned Repositories
reference-en
Editable source for the Arduino Reference
behavioral-cloning
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.
CAAT
Canvas Advanced Animation Toolkit
cpp_utility
detect-lane-lines
Detected highway lane lines on a video stream. Used OpenCV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
reference-en
Editable source for the Arduino Reference
traffic-sign-classification
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.
zipalign
maoxm's Repositories
maoxm/zipalign
maoxm/detect-lane-lines
Detected highway lane lines on a video stream. Used OpenCV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
maoxm/behavioral-cloning
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.
maoxm/CAAT
Canvas Advanced Animation Toolkit
maoxm/cpp_utility
maoxm/reference-en
Editable source for the Arduino Reference
maoxm/traffic-sign-classification
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.