Because of their complexity, deep learning models are often considered as “black-boxes” that lack interpretability. An emerging field, known as Explainable AI, offers techniques that aim to explain the behavior of deep learning models in human terms. For example, you can use Grad-CAM and LIME...
你可以试下这个Example （我用的是还没发布的R2021a，这个例子在R2020b是有的，更早的版本就不确切...
LSTM 层学习时间序列和序列数据中的时间步长之间的长期依赖关系。 该层执行加性交互,这有助于在训练期间改善长序列的梯度流。 %创建一个 LSTM 层并设置NumHiddenUnits属性。 layer = lstmLayer(numHiddenUnits) %使用一个或多个名称-值对参数设置附加l OutputMode, Activations, State, Parameters and Initialization...
对于编码器网络,函数languageTranslationLayers定义了一个简单的网络,由嵌入层和LSTM 层组成。嵌入操作将分类标记转换为数值向量,其中数值向量由网络学习。 对于解码器网络,函数languageTranslationLayers定义了一个网络,该网络将与输入上下文连接的输入数据通过 LSTM 层传递,并获取更新的隐藏状态和编码器输出,并将其传递通过...
For an example that shows how to train an LSTM network for classification, see Sequence Classification Using Deep Learning. Convolutional Network The 1-D convolution layer convolves over the "T" (time) dimension of its input data. The 1-D global max pooling layer maps "CBT" (channel, batch...
This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor. deep-learningexamplematlablstmfault-detectionmatlab-deep-learning UpdatedSep 6, 2022 ...
MATLAB R2017b 的发布让深度学习变得易学易用。 版本更新亮点: 深度学习 使用DAG 和 LSTM 网络,采用一个相应的应用程序给图像加标签,执行语义分割,为 NVIDIAGPU生成 CUDA 代码。 数据分析 文本分析、自定义的数据存储、更多大数据可视化工具和机器学习算法,以及 Microsoft Azure Blob 存储支持。
1. How to build a Deep Learning network which applies multiple sequence inputs into their corresponding LSTM layers separately,... 1 답변 Multi-output network design in "Deep Network Designer" 1 답변 LSTM Example for Multi input and Multi outputs...
forward learning process within the realm of deep learning. In contrast, LSTM networks, a distinct class of RNN models, excel at capturing long-range dependencies between input and output data. These feedback-based models leverage specialized network gates to retain historical information and ...
I just change my network in order to simulate the example presents in Matlab Documentation, but with my data. It is not anymore what I ask in my previous question, but I try to make it simpler. I want to forecast the hourly water demand in a water system. My data are over 15 mouths...