吴恩达机器学习课程笔记 。
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Updated
Dec 11, 2018 - MATLAB
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
吴恩达机器学习课程笔记 。
Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]
Deep Learning Based Cell Type Classification with Low-Res Brightfield Single Cell Images
斯坦福吴恩达教授在Coursera上的机器学习课程的课件,作业及鄙人的笔记。
Predicting solar generation based on weather forecast - a project which was part of Machine Learning course at BITS Pilani
This repository contains machine learning algorithms developed by me and/or my team.
Programming assignments (with Octave and Python) from Coursera's Machine Learning course taught by Andrew Ng.
Material for my one-day tutorial at ESOBE2017
Rigorous Tutorial on MATLAB for Machine Learning + Projects: 2 hour course @mathworks イ
Machine learning codes for the course "Basics of Mathematics in Machine Learning I" given in January-March 2021 at University of Helsinki, Finland.
[COMPLETED] - It contains the solved exercises for the basic machine learning course all solved by me. If you're getting help from my code. Please star the repo.
K Nearest Neighbor and Condensed KNN Algorithm
Machine Learning course from Stanford University on Coursera
A machine learning project that I worked on in Summer 2019 during my internship where I used MATLAB to train AlexNet to perform facial recognition in real-time to identify people. This was my first time using MATLAB.
programming assignment solutions of Coursera Machine Learning course by Stanford University
This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.
Flappy Bird now learns and flys in MATLAB. With Neuroevolution.
This Repository contains Matlab Solutions to the Course and Course Notes as a PDF.
A repository of several Machine Learning Exercises that I completed of Andrew NG's course on Machine Learning
This model creates to check the quality of tea leaves. To build this model used only Matlab and deep learning tool named ResNet50.