Natural Language Processing with Deep Learning Master Class

Natural language processing is the area of study dedicated to the automatic manipulation of speech and text by software. This course is a hands on-guide to applying deep learning to NLP.

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Course curriculum

1. Course Introduction
2. Course Overivew
1. NLP Defined
2. ANN Architecture
3. Deep Learning Defined
4. Keras
5. Keras Model Components
6. Keras Demo Introduction
1. Demo: Manual Tokenization
2. Demo: NTLK
3. Demo: Data Preparation in SciKit-Learn: CountVectorizer
4. Demo: Data Preparation in SciKit-Learn: TfidfVectorizer and HashVectorizer
5. Demo: Prepare Text with Keras: Part 1
6. Demo: Prepare Text with Keras: Part 2
1. Bag-of-Words
2. Anatomy of the Bag-of-Words Model
3. Managing Vocabulary
4. Bag-of-Words Model Limitations
5. Demo: Data Preparation for Sentiment Analysis: Part 1
6. Demo: Data Preparation for Sentiment Analysis: Part 2
7. Demo: Neural Bag of Words Model: Part 1
8. Demo: Neural Bag of Words Model: Part 2
1. Word Embedding Defined
2. Word2Vec
3. Demo: Word2Vec with Gensim
4. Demo: Visualize Word Embeddings
5. Keras Embedding Layer
6. Demo: Word Embedding in Keras
1. Deep Learning and Text Classification
2. Single Layer CNN Architecture
3. Demo: Embedding + CNN Model for Sentiment Analysis
4. Demo: Embedding + CNN Model for Sentiment Analysis: Train Embedding Layer
5. Demo: Develop Multi-Channel CNN: Part 1
6. Demo: Develop Multi-Channel CNN: Part 2
1. Introducing Neural Language Modeling
2. Demo: Character-Based Neural Language Model: Data Preparation
3. Demo: Character-Based Neural Language Model: Train Language Model
4. Demo: Word-Based Neural Language Model: One Word In, One Word Out
5. Demo: Word-Based Neural Language Model: Line by Line Model
6. Demo: Word-Based Neural Language Model: Two-Words-In, One-Word-Out Sequence
7. Demo: Neural Language Model for Text Generation: Data Preparation
8. Demo: Neural Language Model for Text Generation: Modeling
9. Demo: Neural Language Model for Text Generation: Use Trained Model
1. Neural Image Caption Generation Defined
2. Neural Captioning Model Anatomy
3. Neural Network Models for Caption Generation
4. VGG Model Overview
5. Demo: VGG Model in Keras
6. Demo: Prepare a Photo Caption Dataset: Part 1
7. Demo: Prepare a Photo Caption Dataset: Part 2
8. Demo: Prepare a Photo Caption Dataset: Part 3
9. Demo: Prepare a Photo Caption Dataset: Part 4
10. Demo: Prepare a Photo Caption Dataset: Part 5
11. Demo: Develop a Caption Generation Model in Keras: Part 1
12. Demo: Develop a Caption Generation Model in Keras: Part 2
1. Machine Translation Defined
2. Encoder-Decoder Recurrent Neural Network Models for Neural Machine Translation
3. Demo: Develop Neural Machine Translation Model: Part 1
4. Demo: Develop Neural Machine Translation Model: Part 2
5. Demo: Develop Neural Machine Translation Model: Part 3

About this course

Free
60 lessons
3 hours of video content

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Natural Language Processing with Deep Learning Master Class

Course curriculum

Introduction

Foundations

Data Preparation

Bag-of-Words

Word Embedding

Text Classification

Language Modeling

Image Captioning

Neural Machine Translation

About this course