On section of the notes I've written while studying "Machine Learning: A Probabilistic Perspective, Kevin P. Murphy"
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Updated
Sep 11, 2019
On section of the notes I've written while studying "Machine Learning: A Probabilistic Perspective, Kevin P. Murphy"
Implement basic machine learning algorithm from scratch
Feed Forward Neural network: Implemented for bond fluctuation model utilities.
In this project, I have used a custuomized Lenet-5 convolutional neural network architecture to classify German traffic signs.
Various applications of deep learning have been demonstrated.
Machine Learning from scratch in C
This repository hosts a Python implementation of a neural network model for image classification using TensorFlow
[ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
"This program trains a model using 'SVM' or 'Softmax' and predicts the input data. Loss history and predicted tags are displayed as results."
This project implements a basic neural network using C++ for classification tasks. The network is designed to handle a spiral dataset and includes components for forward and backward propagation, as well as optimization.
Collection of python programs performing intensive numerical work and using JIT optimizations with Numba
Using Keras to build a deep neural network for bladder cancer progression
Extensive Vision AI Program from The School Of AI
Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.
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