Introduction | Neural Networks from The Ground Up [Python]

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In this beginner-friendly video, we start to tackle how we can make neural networks from scratch in python. If you're interested in machine learning, deep learning or in general how machines "learn" but don't know how to program then this is the perfect series for you. This video covers the perceptron, weights, biases, activations functions and why you need all of them. This series will go over creating networks, gradient descent and backpropagation. By the end, you'll be able to write a program that can recognise handwritten digits.

[Chapters]
0:00 - Introduction
0:48 - Single Neuron
3:04 - Activation Function
5:20 - Linear Algebra
8:17 - Using numpy
13:05 - Outro

[Code]
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[Resources]

[Tools used to make this video]
  1. Damani MC
  2. how do you make a neural network
  3. how to get into machine learning
  4. How do computers learn
  5. deep learning for beginners
  6. machine learning in python
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