Pinned Repositories
traffic-signs
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.
CarND-Extended-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
CarND-Kidnapped-Vehicle-Project
CarND-MPC-Project
CarND Term 2 Model Predictive Control (MPC) Project
CarND-PID-Control-Project
CarND-Unscented-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
MapReduce
snippets of MapReduce functions
ADL-Beta
aind2-cnn
Repo for AIND Term 2 - Lesson on Convolutional Networks
aind2-rnn
Project materials for RNN segment of AIND nanodegree
chaimpollak's Repositories
chaimpollak/ecomiwiki_frontend
chaimpollak/parking
monte carlo simulation on the quickest way to find parking
chaimpollak/CarND-Path-Planning-Project
Create a path planner that is able to navigate a car safely around a virtual highway
chaimpollak/ADL-Beta
chaimpollak/CarND-MPC-Project
CarND Term 2 Model Predictive Control (MPC) Project
chaimpollak/CarND-PID-Control-Project
chaimpollak/aind2-rnn
Project materials for RNN segment of AIND nanodegree
chaimpollak/CarND-Kidnapped-Vehicle-Project
chaimpollak/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
chaimpollak/dog-project
AIND Term 2 -- CNN Project
chaimpollak/aind2-cnn
Repo for AIND Term 2 - Lesson on Convolutional Networks
chaimpollak/CarND-Unscented-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
chaimpollak/CarND-Extended-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
chaimpollak/CarND-Vehicle-Detection
chaimpollak/CarND-Advanced-Lane-Lines
chaimpollak/BehavioralCloning
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.
chaimpollak/keras
Keras playground (Traffic Sign Classification)
chaimpollak/traffic-signs
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.
chaimpollak/transfer-learning-lab
chaimpollak/CarND-Camera-Calibration
Images and notebook for camera calibration
chaimpollak/FindingLaneLines_P1
Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
chaimpollak/MapReduce
snippets of MapReduce functions
chaimpollak/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera