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Introduction to Machine Learning: Backpropagation
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Introduction to neural network based machine learning techniques. Overview includes:
- Description of deep learning as curve fitting process
- Development and implementation of leading algorithms for deep learning
- Overview of back propagation method for enabling optimization
- Overview of stochastic gradient descent optimization frameworks required for learning
Additional lectures can be found at:
- Description of deep learning as curve fitting process
- Development and implementation of leading algorithms for deep learning
- Overview of back propagation method for enabling optimization
- Overview of stochastic gradient descent optimization frameworks required for learning
Additional lectures can be found at:
Introduction to Machine Learning: Backpropagation
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