Neural Networks from scratch#

Simple scripts for downloading weather data

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  • author: Nipun Batra

  • categories: [ML]

import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

def relu(x):
    return np.max(0, x)

X = np.array([[0, 0],
             [0, 1],
             [1, 0],
             [1, 1]])
y = np.array([0, 1, 1, 0])

plt.scatter(X[:, 0], X[:, 1],c=y)

<matplotlib.collections.PathCollection at 0x120334d50>
../../_images/b4a6f500f5001bb1925bfd025e97aa5101a96565e9739e5ab8afa74f5b761538.png 
X.shape

(4, 2)

X

array([[0, 0],
       [0, 1],
       [1, 0],
       [1, 1]])

layers = [2, 1]

B = [np.zeros(n) for n in layers]

W = [None]*len(layers)

W[0] = np.zeros((X.shape[1], layers[0]))

W

[array([[0., 0.],
        [0., 0.]]), None]

for i in range(1, len(layers)):
    W[i] = np.zeros((layers[i-1], layers[i]))

W[1]

array([[0.],
       [0.]])

X.shape, W[0].shape

((4, 2), (2, 2))

X.shape

(4, 2)