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]
Machine Learning course from Stanford University on Coursera
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
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.
programming assignment solutions of Coursera Machine Learning course by Stanford University
This model creates to check the quality of tea leaves. To build this model used only Matlab and deep learning tool named ResNet50.
Fuzzy c-means clustering algorithm implementation using Matlab.
[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.
Deep Learning Based Cell Type Classification with Low-Res Brightfield Single Cell Images
Flappy Bird now learns and flys in MATLAB. With Neuroevolution.
DeepGuide: a tool to predict CRIPR activity
Under Distinguished Professor William Kaiser, our group has been exploring embedded Machine Learning through the STMicroelectronics SensorTile.
Material for my one-day tutorial at ESOBE2017
Machine Learning