Creating Autonomous cars and simulations from basics of Deep Learning and Computer Vision.

• Lane-Line Detection
• Traffic Signs Recognition System
• Behavioural Cloning (Final project)

• Summary: Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
• Keywords: Computer Vision

• Summary: 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.
• Keywords: Deep Learning, TensorFlow, Computer Vision

• Summary: 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.
• Keywords: Deep Learning, Keras, Convolutional Neural Networks

• The Complete Self-Driving Car Course- Applied Deep Learning (Udemy)
• Tensorflow.org
• Stackoverflow
• StackExchange
• Github Forums
• OpenCV.org
• PyPi.org