Summary
Chapters
Video Info
Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, discusses using Keras in Python to create a convolutional neural network (CNN), including setting up and building the network; compiling, training and evaluating the model; inspecting activated feature maps; and reviewing the results.
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Chapter 1: Preliminaries: Import, Load, and Review Required Libraries, Packages, and Data Set
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Chapter 2: Prediction Using a Standard Neural Network
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Chapter 3: Setting Up a Convolutional Neural Network in Keras
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Chapter 4: Building a Deep Convolutional Neural Network
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Chapter 5: Compiling, Training, and Evaluating the Model
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Chapter 6: Inspecting the Activated Feature Maps Produced by the Hidden Layer Filters
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Chapter 7: Reviewing the Results of the Classifier
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