Discover pretrained models for deep learning in MATLAB
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Updated
May 22, 2024 - MATLAB
Discover pretrained models for deep learning in MATLAB
Deep Learning Transformer models in MATLAB
MATLAB example on how to use Reinforcement Learning for developing a financial trading model
The entire workflow of developing deep learning model for detecting face mask.
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.
YOLO v2 prediction and training in MATLAB for Object Detection with darknet19 & tinyYOLOv2 base networks
Develop agent-based traffic management system by model-free reinforcement learning
MATLAB example using deep learning to classify chronological age from brain MRI images
Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder
Image to Image Translation Using Generative Adversarial Networks
This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.
Train a reinforcement learning agent to play a variation of Pong®
Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB
MATLAB example of deep learning based human pose estimation.
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, visualiz…
MATLAB example of deep learning for image domain conversion
This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.
Semantic segmentation and transfer learning using pretrained SalsaNext model in MATLAB
This repo provides the pretrained baseline 960 hours wav2vec 2.0 model in MATLAB.
Repo for ResNet-101 model
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