Neural Networks from Scratch in Python by Harrison Kinsley, Daniel Kukie a

Chapter 2 - Coding Our First Neurons - Neural Networks from Scratch in Python
size as well. The result is a vector calculated as a sum of the consecutive vector elements:
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A Single Neuron with NumPy
Let’s code the solution, for a single neuron to start, using the dot product and the addition of the
vectors with NumPy. This makes the code much simpler to read and write (and faster to run):
import ​numpy ​as ​np
inputs ​= ​[​1.0​, ​2.0​, ​3.0​, ​2.5​]
weights ​= ​[​0.2​, ​0.8​, ​-​0.5​, ​1.0​]
bias ​= ​2.0
outputs ​= ​np.dot(weights, inputs) ​+ ​bias
print​(outputs)
>>>
4.8
Fig 2.07:​ Visualizing the math of the dot product of inputs and weights for a single neuron.