Rodolpho Valentini Junior rodolphojunior

## !Twitter Clone Assets
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## neural_network.py
import numpy as np
import _pickle as pkl

# activation functions
def linear(x, derivative=False):
    return np.ones_like(x) if derivative else x

def sigmoid(x, derivative=False):
    if derivative:
        y = sigmoid(x)
	import numpy as np
	import _pickle as pkl

	# activation functions
	def linear(x, derivative=False):
	return np.ones_like(x) if derivative else x

	def sigmoid(x, derivative=False):
	if derivative:
	y = sigmoid(x)