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abnormal-eeg-signal-classification-using-cnns

This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.

animated-adaptive-linear-neuron

Animating how Adaline classification works by minimizing cost. Showing comparison of three kinds of gradient descent.

anomaly-detection-with-text-variational-autoencoder

artistic-style-transfer

Artistic fast style transfer with a webcam

automate-labeling-in-image-labeler-using-a-pretrained-tensorflow-object-detector

This example shows how to automate object labeling in the Image Labeler app using a TensorFlow object detector model trained in Python.

biomass-estimation-starter-code

brain-mri-age-classification-using-deep-learning

MATLAB example using deep learning to classify chronological age from brain MRI images

classification-of-sars-covid-19-and-other-lung-infections-from-chest-x-ray-scan-images-with-densenet

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.

coexecution_speech_command

PyTorch and TensorFlow Co-Execution for Speech Command Recognition

compare-gradient-attribution-maps

Sanity checks for comparing gradient attribution maps

compare-pytorch-models-from-matlab

Compare PyTorch models from MATLAB using co-execution

constrained-deep-learning

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

Convert librosa Audio Feature Extraction To MATLAB

convmixer-patches-are-all-you-need

ConvMixer - Patches Are All You Need?

covid19-face-mask-detection-using-deep-learning

The entire workflow of developing deep learning model for detecting face mask.

csinet-channel-compression-in-matlab-using-keras

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.

deep-sudoku-solver

Find and solve sudoku puzzles in images using deep learning and computer vision

deep_learning_poker_player_using_matlab_and_raspberry_pi

This example shows how to use automatic code generation to deploy a deep learning model from MATLAB to Raspberry Pi

deepspeech

This repo provides the pretrained DeepSpeech model in MATLAB. The model is compatible with transfer learning and C/C++ code generation.

explore-deep-network-explainability-using-an-app

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.

fault-detection-using-deep-learning-classification

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.

fine-tune-bert-classification

fourier-neural-operator

googlenet

Repo for GoogLeNet

hamiltonian-neural-network

human-pose-estimation-with-deep-learning

MATLAB example of deep learning based human pose estimation.

hyperparameter-tuning-in-matlab-using-experiment-manager-and-tensorflow

This example shows how to use MATLAB to train a TensorFlow model and tune it's hyperparameters using co-execution with Python.

image-classification-in-matlab-using-converted-tensorflow-model

This repository shows how to import a pretrained TensorFlow model in the SavedModel format, and use the imported network to classify an image.

image-classification-in-matlab-using-tensorflow

This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.

image-domain-conversion-using-cyclegan

MATLAB example of deep learning for image domain conversion