Course 2

Sequence Models — week 3

Week 3: Sequence models & Attention mechanism

上一篇：week 2

1. Various sequence to sequence architectures

1.1 Basic Models

Sequence Models — week 2

Week 2: Natural Language Processing & Word Embeddings

上一篇：week 1

下一篇：week 3

上一週的課程我們學到RNN, GRU, LSTM，這禮拜我們要將這些技術應用到Natural Language Processing(NLP)上面。

1. Introduction to Word…

Sequence Models — week 1

Week 1: Recurrent Neural Networks

下一篇：week 2

Sequence model, 例如Recurrent neural networks, 在語音辨識, NLP等領域有極大的影響力，在這堂課，我們將學會如何建構自己的sequence model。

Convolutional Neural Networks — week 3

Week 3: Object Detection

上一篇：week 2

下一篇：week 4

這週的主題是Object Detection(物體辨識)，舉例來說就是在圖片上用紅框框出例如汽車或是其他物體的動作，然後並進一步辨識物體。

1. Object Localization

Convolutional Neural Networks — week 2

Week 2: Deep convolutional models: case studies

上一篇：week 1

下一篇：week 3

1. Why look at case studies?

Convolutional Neural Networks - week 1

Week 1: Computer Vision

下一篇: week 2

這禮拜介紹的是電腦視覺(Computer Vision, CV)，電腦視覺旨在模仿人類在視覺上的辨認，可應用在生活上多個領域，最有名的包含 Image Classification 和 Object Detection 。

1. Computer Vision

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization — week 3

Week 3: Hyperparameter tuning, Batch Normalization and Programming Frameworks

本週課程分為三個部分：

1. Hyperparameter tuning…