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