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How to start learning deep learning
deep learning
4 Respuestas
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You first have to understand how neural networks work, try to create some small ones yourself, after that you can get into bigger neural networks and deep learning. Watch a lot of videos on YouTube about them, it will help you understand how they work.
Some information about basic NN's:
https://en.m.wikipedia.org/wiki/Artificial_neural_network
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Don't use Python if you want to understand how it works, people who use Python usually just use libraries and learn nothing about how the Neural Networks work.
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Hi Anmol,
Like the rest of us, you've heard all the cool stuff going on in AI and you're eager to get your hands dirty! That's fine, we need more enthusiastic people like you in the world.
Many naysayers will try to dissuade you and tell you that you'll need a PhD just to get started, but that's only partially true. Yes you'll need a solid grounding in some very complicated mathematical theory to get your head around the more advanced concepts of Deep Learning, Machine Learning etc.
BUT, with some knowledge of Python and high school algebra you can get started building a neural network very soon. And really, that's what we coders are all about right? We need to build to stay interested.
To start building, I recommend a book by Tariq Rashid: Make Your Own Neural Network, which is available on amazon. He walks you through the math in very simple terms and shows you how to build in Python. You can also watch his presentation: A Gentle Introduction to Neural Networks and making your own with Python:
https://m.youtube.com/watch?v=2sevic5Vy4E
This, I believe , is your path of least resistance. Once you gain momentum, you can learn the more advanced math as you go if you wish to go deeper. It's difficult, but you can do it. Good luck on your journey!
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appreciate your time but I was very specific about which language to choose from