The neural network above has three neurons in the input layer, and two neurons in the output layer. The number of neurons in the input and output layers do not change. As a result, the number of elements in the input and output patterns, for a particular neural network, can never change...
if you choose 2:10:10:3, you will have a network that looks like the following image. This network has two hidden layers, with 10 neurons each.
Encog continues to be developed, and is used in my own research, for areas that I need Java and are not covered by Keras. However, for larger-scale cutting edge work, where I do not need to implement the technology from scratch, I make use of Keras/TensorFlow for my own work. ...
My Review of Computer Science Ph.D. at Nova Southeastern University July 5th The Number of Hidden Layers June 1st Presented at International Joint Conference on Neural Networks (IJCNN 2017) May 25th Reading Wikipedia XML Dumps with Python March 3rd Prev 1 2 3 4 5 6 Next About Jef...