matlab神经网络1：功能&特色

1.matlab的神经网络工具箱能做什么？

• • Neural Network Toolbox （神经网络工具箱）provides algorithms, pretrained models, and apps to create,train, visualize, and simulate both shallow and deep neural networks. You can perform classification,regression, clustering, dimensionality reduction, time-series forecasting,and dynamic system modeling and control.
  • Deep learning networks （深度神经网络工具箱） include convolutional neural networks (ConvNets, CNNs),directed acyclic graph (DAG) network topologies, and autoencoders for image
  • classification, regression, and feature learning. For time-series classification and prediction, the toolbox provides long short-term memory (LSTM) deep learning networks.You can visualize intermediate layers and activations, modify network architecture, andmonitor training progress.

2.关键的特色有哪些？

• • Deep learning with convolutional neural networks (CNNs), long short-term memory(LSTM) networks (for time series classification), and autoencoders (for featurelearning，特征学习)
  • Directed acyclic graph (DAG) networks for deep learning with complex architectures 
  • Transfer learning with pretrained CNN models (GoogLeNet, AlexNet, VGG16, and VGG19) and models from the Caffe Model Zoo
  • Unsupervised learning algorithms, including self-organizing maps and competitive layers
  • Supervised learning algorithms, including multilayer, radial basis, learning vector quantization (LVQ), time-delay, nonlinear autoregressive (NARX), and recurrent neural network (RNN)

3.参考资料

1.Neural Network Toolbox Getting Started Guide

2.Neural Network Toolbox User’s Guide

3.Neural Network Toolbox Reference

4.Neural Network Toolbox Release Notes