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.
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
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
Repo for ResNet-101 model
Mask-RCNN training and prediction in MATLAB for Instance Segmentation
Repo for ResNet-50
Object detection and transfer learning using pretrained EfficientDet-D0 model in MATLAB.
This repo provides the pretrained DeepSpeech model in MATLAB. The model is compatible with transfer learning and C/C++ code generation.
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