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udacity-nanodegree-deeplearning's Introduction

Udacity Nanodegree DeepLearning Foundation

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Part 1, Introduction

  • Learn about this Nanodegree course and set up environment.
  • Do simple regression and have experiences using deep learning application such as Style Transfer, DeepTraffic.

Part 2, Neural Networks

  • Intro to Neural Networks
  • The First Project with Nueral Networks
  • Model Evaluation and Validation
  • Sentiment Analysis with Andrew Trask
  • MiniFlow

Part 3, Convolutional Neural Networks

  • Intro to TensorFlow
  • Cloud Computing
  • Deep Neural Networks
  • Convolutional Networks
  • Siraj's Image Classification
  • Weight Initialization
  • The Second Project: Image Classification
  • Siraj's Image Generation
  • Autoencoders
  • Transfer Learning

Part 4, Recurrent Neural Networks

  • Intro to RNN
  • Siraj's Stock Prediction
  • Hyperparameters
  • Embeddings and Word2Vec
  • Siraj's Style Transfer
  • Q&A with FloydHub Founders
  • Sentiment Prediction RNN
  • Siraj's Text Summarization
  • The Third Project: Generate TV Scripts
  • Sequence to Sequence
  • Siraj's Chatbot
  • The Fourth Project: Translation Project

Part 5, Generative Adversarial Networks

  • Intro to GAN
  • Siraj's Video Generation
  • Deep Convolutional GANs
  • The Fifth Project: Generate Faces
  • Semi-Supervised Learning

Extracurricular

  • TensorBoard
  • Reinforcement Learning
  • Siraj's Reinforcement Learning
  • Siraj's One-Shot Learning

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