Any suggestions on where to begin learning neural networks for beginners? Some advice on useful resources , books, papers, etc will be appreciated. Thanks
I think that will depend on you. Do you have prior coding skills in python or similar languages? If yes, then you can just follow the example on any of these links:
https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/
https://www.freecodecamp.org/news/how-to-build-your-first-neural-network-to-predict-house-prices-with-keras-f8db83049159/
If you don't no how to code in python (or whatever), you can using GUI-based neural network applications like WEKA or even MATLAB.
I hope this helps
I suggest to start with this course in Coursera -
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning.
Thanks for the response. My aim is to model power system behaviour using neural networks. Is Matlab NN toolbox capable of doing this?
You can try by taking https://www.coursera.org/learn/machine-learning/home/welcome course. It gives need to know information about neural network and additionally you can experiment it with provided exercises.
You will use "Function Approximation and Nonlinear Regression" section, there is a part called "Exemples and How To", you can implement these exemples to understand how it works. Below the link :
https://www.mathworks.com/help/deeplearning/function-approximation-and-nonlinear-regression.html
Aplicación de una red neuronal feed-forward backpropagation para el diagnóstico de fallas mecánicas en motores de encendido provocado
10.17163/ings.n21.2019.03
Predicción de emisiones de CO y HC en motores Otto mediante redes neuronales.
10.17163/ings.n23.2020.03
Hello Umair Shahzad ,
I would suggest you to start on with Machine Learning. You can complete courses on linear regression, logistics regression, reinforcement learning and others which are available in coursera website. You can go also for Prof. Andrew Ng's course on ML. You can focus on understanding the fundamentals of it before going on Neural Networks and Deep Learning-these courses are available too!!! There are courses such as Improving Deep Neural Networks which you can learn from his course. As long as you're familiar with general math and using tools such as GNU Octave or Python, you will be able to complete all these courses with a reasonable understanding of basics. You can also watch other YouTube videos on this.
I would suggest you to start with the classics if you want to know the foundational base of neural networks: Kohonen maps (basic read here: https://www.tutorialspoint.com/artificial_neural_network/artificial_neural_network_kohonen_selforganizing_feature_maps.htm ); then pure ARTs memories, and then you'll hate the topic or just want go deeper.
I think if you use "nnstart" and "nntool" in MATLAB, they have GUI and are useful for the start. Also, MATLAB help has some tutorials.
Machine learning by Andrew Ng on Coursera is a good starting point.
CS231n: Convolutional Neural Networks for Visual Recognition by Stanford University is also good. http://cs231n.stanford.edu/
You can also look for video lectures on NPTEL.
Hello
If you r looking for code based implementation u can follow udemy course. To know the background in depth you can follow lectures by Andrew Ng. I would like to suggest you to learn by doing projects as they help to explore more. You can also follow machinelearningmastery for clarification of doubts and basic well explained code snippets .
Thank You.
I would suggest you to start from Awesome Deep Learning. It has many useful links for Deep Learning and it is easy to follow it.
Awesome Deep Learning https://github.com/ibrahim85/awesome-deep-learning
here a sample of the websites you can follow:
WebSites
Deep Learning (book)-- by Ian Goodfellow is definitely a must read from anyone starting in the field. https://www.deeplearningbook.org/
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