Henry Ansah is a third-year Electrical Engineering undergraduate student with interests in robotics, machine learning, and self-driving cars. He has cultivated skills using Pytorch, TensorFlow, Keras, Sklearn, and more. He was awarded a scholarship to study deep learning by Udacity and Facebook Artificial Intelligence and is active in the AI community through several communities and groups, including the Google Developer Club. So far, he has developed an end-to-end convolutional neural network to detect pneumonia in chest x-ray images, implemented a convolutional denoising autoencoder to remove random noises from images of faces, and built a sentiment classification algorithm to classify movie reviews as positive or negative.
