Model which can recognize handwritten digits from the MNIST dataset using a Convolutional Neural Network (CNN).
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Updated
Jun 22, 2024 - Jupyter Notebook
Model which can recognize handwritten digits from the MNIST dataset using a Convolutional Neural Network (CNN).
Using mobile sensor data from the matlab mobile, the best model is build to by training and testing data. The model is used to track the activity of the person and distance travelled by them.
A MATLAB script for visualizing a feedforward neural network's understanding of a math function under different parameters
MATLAB code of Feedforward Deep Neural Network (FDNN) for Battery State of Charge (SOC) Estimation in Battery Electric Vehicle (BEV)
Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods
Pretrained networks for Deep-Learning-Based Covariant Hamiltonian Optimization for Motion Planning (DLCHOMP) of robotic manipulators for MATLAB®
Linear Regression using Matlab on a Kaggle dataset.
Animating how Adaline classification works by minimizing cost. Showing comparison of three kinds of gradient descent.
Convert librosa Audio Feature Extraction To MATLAB
This work was the lab project of our "Power System 1" course which is offered in 5th semester. In this work, we have predicted the load of a fixed locality using various ML algorithms.
Sanity checks for comparing gradient attribution maps
This example shows how to use automatic code generation to deploy a deep learning model from MATLAB to Raspberry Pi
This repo provides the pretrained baseline 960 hours wav2vec 2.0 model in MATLAB.
ConvMixer - Patches Are All You Need?
Seven Segment Digit Recognition in MATLAB
PyTorch and TensorFlow Co-Execution for Speech Command Recognition
This repository provides implementation of SciNet network described in arXiv:1807.10300v3
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.
This repo provides the pretrained DeepSpeech model in MATLAB. The model is compatible with transfer learning and C/C++ code generation.
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.
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