MATLAB Deep Learning
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- Connect MATLAB to LLM APIs, including OpenAI® Chat Completions, Azure® OpenAI Services, and Ollama™
- Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
- Use a Python speech command recognition system in MATLAB
- 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.
- Convert librosa Audio Feature Extraction To MATLAB
- Discover pretrained models for deep learning in MATLAB
- YOLO v8 training and inference in MATLAB for Object Detection with yolov8n, yolov8s, yolov8m, yolov8l, yolov8x, networks
- Sanity checks for comparing gradient attribution maps
- Pretrained networks for Deep-Learning-Based Covariant Hamiltonian Optimization for Motion Planning (DLCHOMP) of robotic manipulators for MATLAB®
- MATLAB example on how to use Reinforcement Learning for developing a financial trading model
- YOLOX inference in MATLAB for Object Detection with yolox_s, yolox_m & yolox_l networks
- YOLO v2 prediction and training in MATLAB for Object Detection with darknet19 & tinyYOLOv2 base networks
- Object detection and transfer learning using pretrained YOLO v4 models in MATLAB.
- Seven Segment Digit Recognition in MATLAB
- Text Detection using Pretrained CRAFT model in MATLAB
- Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction
- This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
- MATLAB example using deep learning to classify chronological age from brain MRI images
- Object detection and transfer learning using pretrained EfficientDet-D0 model in MATLAB.