chaimpollak Goto Github PK

adl-beta

aind2-cnn

Repo for AIND Term 2 - Lesson on Convolutional Networks

aind2-rnn

Project materials for RNN segment of AIND nanodegree

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.

carnd-advanced-lane-lines

carnd-camera-calibration

Images and notebook for camera calibration

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-path-planning-project

Create a path planner that is able to navigate a car safely around a virtual highway

carnd-pid-control-project

carnd-unscented-kalman-filter-project

Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project

carnd-vehicle-detection

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

dog-project

AIND Term 2 -- CNN Project

ecomiwiki_frontend

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.

keras

Keras playground (Traffic Sign Classification)

mapreduce

snippets of MapReduce functions

parking

monte carlo simulation on the quickest way to find parking

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

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.

transfer-learning-lab