Summary
Chapters
Video Info
Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, uses Python to set up a convolutional neural networks (CNN) capable of accurately representing complex data, including the how standard and CNNs differ, the difference between vectors and tensors, how to set up CNN using tensors and filters, a sample classification, how filters aid in decision making, how CNNs make predictions, and how to train a CNN.
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Chapter 1: How Does a Convolution Neural Network differ from a Standard Neural Network?
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Chapter 2: What Is a Tensor and how Does it Differ From a Vector?
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Chapter 3: Creating a Neural Network Using Tensors and Filters
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Chapter 4: Sample Classification by a Convolutional Neural Network
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Chapter 5: How Do Filters Help a Convolution Neural Network Make Decisions?
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Chapter 6: Summary of how a Convolution Neural Network Makes Predictions
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Chapter 7: How to Train a Convolution Neural Network
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