import numpy as np

inputs = [[1,2,3,2.5],

[2.,5.,-1.,2],

[-1.5,2.7,3.3,-0.8]]

weights1 = [[0.2,0.8,-0.5,1],

[0.5,-0.91,0.26,-0.5],

[-0.26,-0.27,0.17,0.87]]

biases = [2,3,0.5]

weights2 = [[0.1,-0.14,0.5],

[-0.5,0.12,-0.33],

[-0.44,0.73,-0.13]]

biases2 = [-1,2,-0.5]

layer1_outputs = np.dot(inputs,np.array(weights1).T)+biases

layer1_outputs

layer2_outputs = np.dot(layer1_outputs,np.array(weights2).T)+biases2

layer2_outputs