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Artificial Neurons
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Classroom Contents
ML Foundations III - Deep Learning
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- 1 Artificial Neurons
- 2 Activation Functions used in Deep Neural Networks
- 3 Feedforward Neural Networks
- 4 Calculus Review: the Chain Rule
- 5 Backpropagation: Training Deep Neural Networks
- 6 Deep Learning Training Algorithm Considerations
- 7 Motivation for CNNs
- 8 Kernels and the Convolution Operation
- 9 Convolutional Neural Network Structure
- 10 Pooling
- 11 Example CNN Architectures and Use Cases
