24 lines
878 B
Markdown
24 lines
878 B
Markdown
Sebastian Raschka, 2015
|
|
|
|
Python Machine Learning - Code Examples
|
|
|
|
## Chapter 12 - Training Artificial Neural Networks for Image
|
|
|
|
- Modeling complex functions with artificial neural networks
|
|
- Single-layer neural network recap
|
|
- Introducing the multi-layer neural network architecture
|
|
- Activating a neural network via forward propagation
|
|
- Classifying handwritten digits
|
|
- Obtaining the MNIST dataset
|
|
- Implementing a multi-layer perceptron
|
|
- Training an artificial neural network
|
|
- Computing the logistic cost function
|
|
- Training neural networks via backpropagation
|
|
- Developing your intuition for backpropagation
|
|
- Debugging neural networks with gradient checking
|
|
- Convergence in neural networks
|
|
- Other neural network architectures
|
|
- Convolutional Neural Networks
|
|
- Recurrent Neural Networks
|
|
- A few last words about neural network implementation
|
|
- Summary |