Deep Learning Nanodegree Portfolio

This repository contains my work for Udacity's Deep Learning Nanodegree program, August 2017 cohort.

Related: My Data Analyst Nanodegree Portfolio.

Projects:

• Project 1: Your First Neural Network: Implement a neural network in Numpy to predict bike rentals.
• Project 2: Image classification: Build a convolutional neural network with TensorFlow to classify CIFAR-10 images.
• Project 3: Text Generation: Train a recurrent neural network on scripts from The Simpson's (copyright Fox) to generate new scripts.
• Project 4: Machine Translation: Train a sequence to sequence network for English to French translation (on a simple dataset)
• Project 5: Face Generation: Use a DCGAN on the CelebA dataset to generate images of novel and realistic human faces.

Courses taken:

• Neural Networks
• Deep Neural Networks
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Generative Adversarial Networks (GANs)

Skills acquired:

• TensorFlow, Keras, TensorBoard
• Cloud computing (AWS, GCE, FloydHub)
• Weight initialization
• Sentiment analysis
• Image classification
• Image generation
• Autoencoders
• Transfer learning
• Embeddings and word2vec
• Style transfer
• Text summarization
• Sequence to sequence
• Dynamic memory networks
• Machine translation
• Semi-supervised learning
• Reinforcement learning
• One-shot learning