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Long Short Term Memory
Networks (LSTMs)
Special kind of RNN, capable of learning long-term dependencies.
Requirements:
1. Solves problems of vanishing gradients
2. Avoids long term dependency problems
Example: “France is where I grew up, but I now live in Boston. I speak
fluent __________.”
More information from distant past is needed to accurately predict the next
word.
Applications of
LSTM
Example: Sentiment Analysis
Code: https://colab.research.google.com/drive/11pFRnLQ7wJSN5iWvS08Axr
72pfCGYsFj?usp=sharing
Natural Language Processing (NLP)
Machine
Translation
Sentiment
Analysis
Name Entity
Recognition
Question
Answering
Speech
Recognition
Grammar
Learning
Semantic Parsing
Different Fields
Business Process
Management
Medical Care Airlines/Travel
Market/Stock
Market
Robotics
Protein Homology
Detection
Multimedia
Multimedia
MUSIC
COMPOSITION
VIDEO ACTIVITY
RECOGNITION
RHYTHM
LEARNING
IMAGE
GENERATION
IMAGE
CAPTIONING
Other Applications
TIME SERIES
PREDICTION
HANDWRITING
RECOGNITION
HUMAN ACTION
RECOGNITION
SIGN LANGUAGE
TRANSLATION
SHORT-TERM
TRAFFIC FORECAST
THANK YOU

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LSTM and its Applications