IIRF Online > Development > Data Science > Deep Learning > Deep Learning: Advanced Natural Language Processing and RNNs
Deep Learning: Advanced Natural Language Processing and RNNs by Udemy
Natural Language Processing (NLP) with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!
Course Highlights
- Build a text classification system (can be used for spam detection, sentiment analysis, and similar problems)
- Build a neural machine translation system (can also be used for chatbots and question answering)
- Build a sequence-to-sequence (seq2seq) model
- Build an attention model
- Build a memory network (for question answering based on stories)
Skills you will learn!
Curriculum
4 Topics
Introduction
Outline
Where to get the code
How to Succeed in this Course
15 Topics
Review Section Introduction
How to Open Files for Windows Users
What is a word embedding?
Using word embeddings
What is a CNN?
Where to get the data
CNN Code (part 1)
CNN Code (part 2)
What is an RNN?
GRUs and LSTMs
Different Types of RNN Tasks
A Simple RNN Experiment
RNN Code
Review Section Summary
Suggestion Box
6 Topics
Bidirectional RNNs Motivation
Bidirectional RNN Experiment
Bidirectional RNN Code
Image Classification with Bidirectional RNNs
Image Classification Code
Bidirectional RNNs Section Summary
9 Topics
Seq2Seq Theory
Seq2Seq Applications
Decoding in Detail and Teacher Forcing
Poetry Revisited
Poetry Revisited Code 1
Poetry Revisited Code 2
Seq2Seq in Code 1
Seq2Seq in Code 2
Seq2Seq Section Summary
9 Topics
Attention Section Introduction
Attention Theory
Teacher Forcing
Helpful Implementation Details
Attention Code 1
Attention Code 2
Visualizing Attention
Building a Chatbot without any more Code
Attention Section Summary
6 Topics
Memory Networks Section Introduction
Memory Networks Theory
Memory Networks Code 1
Memory Networks Code 2
Memory Networks Code 3
Memory Networks Section Summary
4 Topics
(Review) Keras Discussion
(Review) Keras Neural Network in Code
(Review) Keras Functional API
(Review) How to easily convert Keras into Tensorflow 2.0 code
3 Topics
Pre-Installation Check
Anaconda Environment Setup
How to How to install Numpy Theano Tensorflow etc...
4 Topics
How to Code by Yourself (part 1)
How to Code by Yourself (part 2)
Proof that using Jupyter Notebook is the same as not using it
Python 2 vs Python 3
4 Topics
How to Succeed in this Course (Long Version)
Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced?
Machine Learning and AI Prerequisite Roadmap (pt 1)
Machine Learning and AI Prerequisite Roadmap (pt 2)
2 Topics
What is the Appendix?
BONUS
Deep Learning: Advanced Natural Language Processing and RNNs
Related Deep Learning Courses
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