1.matlab的神經(jīng)網(wǎng)絡(luò)工具箱能做什么？

• • Neural Network Toolbox （神經(jīng)網(wǎng)絡(luò)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(jīng)網(wǎng)絡(luò)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(guān)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(xué)習(xí))
  • 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(shù)專家面對(duì)面20年技術(shù)見證，附贈(zèng)技術(shù)全景圖

總結(jié)

以上是生活随笔為你收集整理的matlab神经网络1：功能特色的全部內(nèi)容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網(wǎng)站內(nèi)容還不錯(cuò)，歡迎將生活随笔推薦給好友。