This is a homework about supervised learning and kernel trick for machine learning course @ FUM.
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Updated
Jul 13, 2022 - Jupyter Notebook
This is a homework about supervised learning and kernel trick for machine learning course @ FUM.
Illustrate how to show output of images between hidden layers.
A CT-scan of your CNN
Feature maps and image kernels plotting example on cifar10 dataset
Visualization of filters and feature maps in leaf disease image classifiers.
Deep learning model for Cats vs Dogs competition in Kaggle. Also it contains CNN's filters and feature maps visualizations.
Course XCS229i in Machine Learning from Stanford University
This repo discovers how to develop simple visualizations for filters and feature maps in a Convolutional Neural Network
Dump feature maps per image, and create montages of the 'best' images and activations for each feature map at a given layer
Deep learning model for Digit Recognizer competition in Kaggle where the model has 99.5% accuracy and model has custom architecture. Also it contains CNN's filters and feature maps visualizations.
CNN Visualization using PyTorch
Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification
Visualize Filters and Feature Maps in Convolutional Neural Networks
get feature map of two image and adjust both in a crop
Utility tool for Intel(r) OpenVINO(tm) IR models. The tool can display detailed model information, layer information and can check compatibility. The tool also can extract weight data and feature map from the IR model.
Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"
Code for DNN feature map compression paper
Solve complex real-life problems with the simplicity of Keras
Code for paper "Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem"
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