April 2018
Beginner to intermediate
566 pages
12h 17m
English
Here, we are going to implement the neural network-based algorithm multilayer perceptron (MLP). You can refer to the following code snippet:

Figure 2.37: Code snippet for multilayer perceptron
Here, you can see that we are using the Relu activation function, and the gradient descent solver function is ADAM. We are using a learning rate of 0.0001. You can evaluate the result by referring to the following graph:

Figure 2.38: Code snippet for generating the graph for the actual and predicted prices
This graph shows that all the data records' ...