DLND

Deep Learning Nanodegree from Udacity

Contents

Assignments

Part 3: Convolutional Neural Networks

• Lecture 3: Transfer Learning
  • Transfer Learning
• Lecture 4: Weight Initialization
  • Weight Initialization
• Lecture 5: Autoencoder
  • Simple Autoencoder
  • Convolutional Autoencoder
  • Denoising Autoencoder

Part 4: Recurrent Neural Networks

• Lecture 5: Embeddings & Word2Vec
  • Skip Grams
• Lecture 8: Attention
  • Attention Basics

Part 5: Generative Adversarial Networks

• Lecture 1: Basic GAN
  • MNIST GAN
• Lecture 2: Deep Convolutional GANs
  • Batch Normalization
  • Generating Street View Home Number (SVHN)
• Lecture 4: CycleGAN
  • Summer to Winter Image Transformation

Part 6: Deploying Model

• Lecture 2: Building a Model using SageMaker
  • Predicting Boston Housing - XGBoost - Batch Transform - High Level
  • Sentiment Analysis - XGBoost - Batch Transform
• Lecture 3: Deploying and Using a Model
  • Predicting Boston Housing - XGBoost - Deploy - High Level
  • Sentiment Analysis - XGBoost - Web App

Projects

• Project 1: Predicting Bike-Sharing Patterns
• Project 2: Classifying Dog's Breed
• Project 4: Generating TV Script
• Project 5: Generating Face
• Project 7: Deploying Sentiment Analysis Model