👾 Add some machine learning experiments

machine_learning_examples/numpy_examples/neuron.py

@@ -0,0 +1,7 @@
+class Neuron(object):
+  # ... 
+  def forward(inputs):
+    """ assume inputs and weights are 1-D numpy arrays and bias is a number """
+    cell_body_sum = np.sum(inputs * self.weights) + self.bias
+    firing_rate = 1.0 / (1.0 + math.exp(-cell_body_sum)) # sigmoid activation function
+    return firing_rate