matlab-deep-learning Goto Github PK
Name: MATLAB Deep Learning
Type: Organization
Bio: Deep learning resources, including pretrained neural network models.
Blog: https://www.mathworks.com/solutions/deep-learning.html
Name: MATLAB Deep Learning
Type: Organization
Bio: Deep learning resources, including pretrained neural network models.
Blog: https://www.mathworks.com/solutions/deep-learning.html
This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.
Animating how Adaline classification works by minimizing cost. Showing comparison of three kinds of gradient descent.
Artistic fast style transfer with a webcam
This example shows how to automate object labeling in the Image Labeler app using a TensorFlow object detector model trained in Python.
MATLAB example using deep learning to classify chronological age from brain MRI images
This example shows how to train a deep neural network to classify SARS COVID-19 and other lung infections using chest X-ray (CXR) images.
PyTorch and TensorFlow Co-Execution for Speech Command Recognition
Sanity checks for comparing gradient attribution maps
Compare PyTorch models from MATLAB using co-execution
Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
Convert librosa Audio Feature Extraction To MATLAB
ConvMixer - Patches Are All You Need?
The entire workflow of developing deep learning model for detecting face mask.
This example shows how to co-execute MATLAB and Python to simulate the effect of channel estimate compression on precoding in a MIMO OFDM channel.
Find and solve sudoku puzzles in images using deep learning and computer vision
This example shows how to use automatic code generation to deploy a deep learning model from MATLAB to Raspberry Pi
This repo provides the pretrained DeepSpeech model in MATLAB. The model is compatible with transfer learning and C/C++ code generation.
This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualize layer activations, and many more techniques to help you understand and explain your deep network’s predictions.
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.
Repo for GoogLeNet
MATLAB example of deep learning based human pose estimation.
This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.
This repository shows how to import a pretrained TensorFlow model in the SavedModel format, and use the imported network to classify an image.
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
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