1.matlab的神經網絡工具箱能做什么？

• • Neural Network Toolbox （神經網絡工具箱）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 （深度神經網絡工具箱） 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.關鍵的特色有哪些？

• • Deep learning with convolutional neural networks (CNNs), long short-term memory(LSTM) networks (for time series classification), and autoencoders (for featurelearning，特征學習)
  • 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)

3.參考資料

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 與50位技術專家面對面20年技術見證，附贈技術全景圖

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