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
Object detection and transfer learning using pretrained YOLO v4 models in MATLAB.
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
Spatial-CNN for lane detection in MATLAB.
This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.
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…
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
Repo for ResNet-18
This repo provides the pretrained DeepSpeech model in MATLAB. The model is compatible with transfer learning and C/C++ code generation.
Object detection and transfer learning using pretrained EfficientDet-D0 model in MATLAB.
YOLO v8 inference in MATLAB for Object Detection with yolov8n, yolov8s, yolov8m, yolov8l, yolov8x, networks
ConvMixer - Patches Are All You Need?
DeepLabv3+ inference and training in MATLAB for Semantic Segmentation
This repository shows how to import a pretrained TensorFlow model in the SavedModel format, and use the imported network to classify an image.
Repo for GoogLeNet
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