I planned on writing more about the learning videos and material. However, there was much more content and work to cover prior to the first project due date than I anticipated. Some of the material covered includes: multilayer neural networks, activation functions, gradient descent, and back propagation.
In this project, I implemented a neural network with a single hidden layer (i.e. 1 input layer, 1 hidden layer, and 1 output layer). I trained the network and tuned parameters like the number of hidden units, number of epochs, and learning rate to produce reasonable training and validation errors. Overall the system did a decent job at predicting bike share usage.