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Category Archives: Neural Networks
Run local jupyter notebook on a Pytorch container
Introduction When, I was learning Pytorch I had already two separate Python version (2.x and 3.x) together with a lot of packages installed on my machine and I did not want to risk messing up my laptop. So, I decided … Continue reading
Posted in Linux, Machine Learning, Neural Networks, programming, Python, Software, Ubuntu
Tagged bash, browser, connect, Container, container id, container stop, deep, deep neural networks, DNN, Docker, docker image, docker ps, docker rm, docker stop, docker with jupyter, Facebook, Fair, file, image, install, ipynb, ipython, issue, jupyter, linux, local, machine, macos, mathematics, neural networks, notebook, port, powershell, programming, python, Pytorch, root, setup, software, ssh, terminal, url, windows
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Function Approximation – 1 (Radial Basis Network)
Here I give an example about the function approximation technique in MATLAB, than can be used in many areas, e.g., machine learning, robotics, artificial intelligence, optimization. The function approximation in this tutorial is accomplished using Radial Basis Networks. There are … Continue reading
Posted in Linux, Machine Learning, MATLAB, Neural Networks, Optimization, programming, Robotics, SIMULINK, Software, Ubuntu
Tagged artificial intelligence, basis, code, easy, example, function, function approximation, linux, Machine Learning, math, mathematics, Matlab, networks, neural networks, optimization, programming, radial, radial basis networks, robot, Robotics, script, simple, software, sourcecode, step by step, tutorial, ubuntu, windows
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Random Search Algorithm
Random Search Algorithm (Pure RSA) This is the simplest optimization (minimization) algorithm, You can find many related subject on internet. Here, I am going to provide a MATLAB code for this algorithm. The problem here is min f(x) : f(x)=Σ … Continue reading
Posted in Linux, Machine Learning, MATLAB, Neural Networks, Optimization, programming, Robotics, Software, Ubuntu
Tagged algorithm, code, linux, Machine Learning, mathematics, Matlab, maximize, method, minimize, optimization, optimum, programming, pure, random search, RSA, script, search, widows
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General Categorization of Machine Learning methods
There are three main branches of learning methods: 1-Supervised learning – These methods require labeled data to learn from. For instance given a 10000 images of cats and dogs which are labeled correctly by a supervisor, a machine learning approach … Continue reading
Posted in Machine Learning, Neural Networks, Reinforcement Learning, Robotics, Thoughts
Tagged action, anomaly detection, bayes, bayes classifier, classification, classifier, clustering, data, direct policy search, fuzzy, gaussian, gaussian process, k-means, label, labeled, Machine Learning, neural networks, observation, q-learning, radial basis network, Reinforcement Learning, reward, sarsa, state, supervised, supervised learning, td-learning, unsupervised, unsupervised learning
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