Model which can recognize handwritten digits from the MNIST dataset using a Convolutional Neural Network (CNN).
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Updated
Sep 26, 2024 - Jupyter Notebook
Model which can recognize handwritten digits from the MNIST dataset using a Convolutional Neural Network (CNN).
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.
Seven Segment Digit Recognition in MATLAB
Pretrained networks for Deep-Learning-Based Covariant Hamiltonian Optimization for Motion Planning (DLCHOMP) of robotic manipulators for 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.
Compute the neuron coverage of a deep learning network in MATLAB.
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.
Linear Regression using Matlab on a Kaggle dataset.
Animating how Adaline classification works by minimizing cost. Showing comparison of three kinds of gradient descent.
Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods
MATLAB Tools that can be used for data analysis, algorithm development, modeling, and simulation.
Convert librosa Audio Feature Extraction To MATLAB
MATLAB code of Feedforward Deep Neural Network (FDNN) for Battery State of Charge (SOC) Estimation in Battery Electric Vehicle (BEV)
Repo for MobileNet-v2
Sanity checks for comparing gradient attribution maps
YOLOX inference in MATLAB for Object Detection with yolox_s, yolox_m & yolox_l networks
This sample script is to measure the stride of a runner in video by using pretrained deep learning model and simple signal processing.
PyTorch and TensorFlow Co-Execution for Speech Command Recognition
ConvMixer - Patches Are All You Need?
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