founder at renai.build

Shreyansh Chandak  • Peerlist

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.

Behavioural Cloning

Implemented a basic neural network architecture using functional programming in Scala.

Deep Learning in Scala

Counts the number of circles in an image and geneartes a csv report along with the circles numbered on the input image.

Detecting cylinders using Circular Hough Tran

Implemented an Extended Kalman Filter algorithm in C++ capable of tracking a pedestrian's motion in two dimensions.

Extended Kalman Filters

Detected highway lane lines on a video stream. Used OpenCV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.

Finding Lane Lines on the Road

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.