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Learn the basics of neural networks and backpropagation, one of the most important algorithms for the modern world. The math behind neural networks alone doesn't make it intelligent. It only assumes basic knowledge of python and a vague recollection of calculus from high school.
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Mathematics with a distinct visual perspective 3blue1brown on youtube has some good videos to help with visualizing the key concepts Linear algebra, calculus, neural networks, topology, and more.
About the subject neural networks, a form of machine learning based on the human brain, has driven some of the biggest breakthroughs in artificial intelligence
Now, by working through this incredible livevideo course, you can really understand how neural networks really work Grant sanderson’s neural networks helps you understand what a neural network actually is, and how to use that. You can’t do neural networks without linear algebra and differential calculus, but this series works hard at making them as easy to understand as possible This is all about the general principles behind neural networks and doesn’t cover any programming at all.
Explore free math videos from understand the math Whether you’re a student or a lifelong learner, this channel is designed to give you the tools you need to truly understand math. These educational youtube channels are great math & science resources, whether you’re stuck on a problem or just want to learn. The key components of a cnn include convolutional layers, pooling layers, activation functions, and fully connected layers.
Linear algebra would probably be a good start
Gradient descent is the other concept to learn
