Deep Learning is a repo for projects built as a part of Deep Learning Nanodegree that was offered by AWS and Facebook AI. To be selectected, 1st you needed to compete with 6000 students in Secure and Private AI Challenge Scholarship to get a spot in "Deep Learning" Nanodegree. Only 300 students were selected for Nanondegree.
Out of six thousand students in the Secure and Private AI Challenge Scholarship, your progress in the course and dedication in the community really stood out. We’ve been impressed and we’re excited for you to continue the journey and grow even stronger as a developer.
Built and trained neural networks from scratch to predict the number of bikeshare users on a given day.
Designed and trained a convolutional neural network (CNN) to analyze images of dogs and correctly identify their breeds. Used transfer learning and well-known architectures to improve this model.
Built a Recurrent Neural Network (RNN) on TensorFlow to process text. Used it to generate new episodes of my favorite TV show, based on old scripts.
Built a pair of multi-layer neural networks and made them compete against each other in order to generate new, realistic faces. Used Generative Adversarial Networks(GAN) for image generation.
Trained and deployed my own PyTorch sentiment analysis model using Amazon's SageMaker service. Built a model and created a gateway for accessing it from a website.