Neural Networks Explained: Forward Propagation
This is Part 2 of my series of videos explaining how Neural Networks work in simple terms. I recap the first video and then continue to explain the process of forward propagation covering the topics of dot product calculation, the ReLU activation function and the Softmax activation function as you move from the input layer to the hidden layer to the output layer.
Info about how to the calculate the number of hidden layers and the number of neurons in the hidden layer: http://www.faqs.org/faqs/ai-faq/neura...