Neural network visualization toolkit for keras. Contribute to raghakot/keras-vis development by creating an account on GitHub.
Neural network visualization toolkit for keras. Contribute to raghakot/keras-vis development by creating an account on GitHub.
A model visualizer visualizes a neural network model at a neuron level. The model visualizer receives a plurality of instances comprising a plurality of features, and receives a neural network model comprising a plurality of layers, each layer comprising a plurality of neurons. For each neuron of...
By developing novel generative modelling tools, we were able to recover the underlying tuning properties of the population code driving the anisotropic neural responses. In addition to the cardinal anisotropy of orientation coding suggested by prior computational and behavioural investigations5,15,16, we...
Analyze results using visualization plots, such as autocorrelation plots or a histogram of errors. Generate MATLAB scripts to reproduce results and customize the training process. Generate functions suitable for deployment withMATLAB Compiler™andMATLAB Coder™tools, and export to Simulink®for use ...
For an overview of deep learning visualization methods in particular, seeDeep Learning Visualization Methods Anomaly Detection OOD detection typically takes advantage of the features of your trained neural network to determine whether input data is ID or OOD. You can also use statistical anomaly detecti...
Analyze results using visualization plots, such as neighbor distance, weight planes, sample hits, and weight position. Generate MATLAB scripts to reproduce results and customize the training process. Generate functions suitable for deployment with MATLAB Compiler™ and MATLAB Coder™ tools, and expo...
While many visualization tools are used for creating static graphs, neural networks require a dynamic approach. 3. How to Draw a Neural Network Diagram in General There are two ways of drawing a neural network diagram. One is the traditional way to go out to the site location, analyze ...
Here we described Facemap, a framework that relates orofacial tracking to neural activity using new modeling tools. The framework is composed of two parts as follows: (1) an orofacial keypoint tracker for extracting eye, whisker, nose and mouth movements, and (2) a neural network encoding mod...
After AlexNet achieved excellent results in the ImageNet image classification competition, researchers began to study CNN more deeply, Zeiler and Fergus proposed a visualization technique to understand CNNs and proposed ZFNet [20]. Min Lin et al. proposed NIN network [21], which contributed to ...