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Deep Learning Specialization
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Course Syllabus

Sequence Models

Module 1: Recurrent Neural Networks

Why Sequence Models?

Recurrent Neural Network Model

Backpropagation Through Time

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Different Types of RNNs

Language Model and Sequence Generation

Sampling Novel Sequences

Vanishing Gradients with RNNs

Clarifications about Upcoming Gated Recurrent Unit (GRU) Video

Gated Recurrent Unit (GRU)

Clarifications about Upcoming Long Short Term Memory (LSTM) Video

Long Short Term Memory (LSTM)

Bidirectional RNN

Module 2: Natural Language Processing & Word Embeddings

Module 3: Sequence Models & Attention Mechanism

Module 4: Transformer Network

Deep Learning Specialization

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Deep Learning Specialization

Intermediate

Topics

Computer VisionDeep LearningNLPSupervised LearningTransformers

Collaborator

DeepLearning.AI

Module 1: Recurrent Neural Networks

- Lecture Notes W1
  Reading
  ・
  1m
- Recurrent Neural Networks
  Graded・Quiz
  ・
  50m
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Module 2: Natural Language Processing & Word Embeddings

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