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Sentiment Analysis Through Deep Learning with Keras and Python

Introduction
Promo
Preview
Bird’s Eye View of Deep Sentiment Analysis
Preview
MNIST Dataset Description
Learning and Prediction Pipeline
Bare Essentials of Theory
Machine Learning Pipeline
Regression
Neural Networks: A Modular Approach
Recap and Supporting Talk
Getting Started with Keras
Windows Installation and Hurdles
Mac and Linux Installation
Keras: Data Preparation
Learning and Evaluation with Keras
Sentiment Analysis Case Study
Understanding the Sentiment Data
Structure of Data for Deep Learning
Model, Embedding and Applying to Real World
Convolutional Neural Networks with Keras
Basics of Convolutional Neural Networks
ConvNet with Keras
Pooling and Translation Invariance
Pooling and Translation Invariance
Dropout and Regularization
Using the functional API with CNN
Revisiting the Sentiment Analysis Model
CNN, LSTM and Other Models for Sentiment Analysis
Finishing Up
Saving and Loading Model Weights
Parting Words and Future Directions
Notebooks

Neural Networks: A Modular Approach

Sentiment Analysis Through Deep Learning with Keras and Python Bare Essentials of Theory
By: Mohammad Nauman
14 minutes
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