Hey sebastin. I would really like to talk to you regarding deep learning. Can you kindly reply back. I tried messaging you on twitter but you didnt replied so I hope you see this message
Thanks for the tutorial. I am wondering how will I add bias to this network.
I have tried the following:
# weight updates
weights_2_update = np.dot(hidden_layer_outputs.T, output_layer_delta) / N
weights_1_update = np.dot(X.T, hidden_layer_delta) / N
bias_2_update = learning_rate * output_layer_delta
bias_1_update = learning_rate * hidden_layer_delta
weights_2 = weights_2 - learning_rate * weights_2_update
weights_1 = weights_1 - learning_rate * weights_1_update
bias2 = bias2 - bias_2_update
bias1 = bias1 - bias_1_update
Could you please tell me if this is correct?
Just someone trying to code some projects
ML From Scratch