Implementing a Neural Network in Java: Training and Backpropagation issues
I'm trying to implement a feed-forward neural network in Java. I've created three classes NNeuron, NLayer and NNetwork. The "simple" calculations seem fine (I get correct sums/activations/outputs),...
View ArticleI Failed To Train Neural Network On JS
I am newbie in machine learning, but decided to make own js library for neural networks, everything went perfect until i tryed to train my NN. In My Mini Library i created some functions... 1) A...
View ArticleMy Neural Network Doesn't Work [XOR problem]
I'm trying to make a neural network for solving XOR problem.But I couldn't make it.Always giving false results.Maybe I'm making a mistake in your math.The network does not learn.Result always...
View ArticleTraining feedforward neural network for OCR [closed]
Currently I'm learning about neural networks and I'm trying to create an application that can be trained to recognize handwritten characters. For this problem I use a feed-forward neural network and...
View ArticleUsing the code to input data for backpropagation
I am learning to build neural nets and I came across this code on github, https://github.com/PavelJunek/back-propagation-java There is a training set and a validation set required to be used but I...
View ArticleHow to store different NN topologies and the corresponding error using For...
This is a feedforward backpropagation neural network model for predicting the parameter (t). Basically, the code runs over a different number of hidden nodes in two hidden layers and calculate the...
View ArticleWhy doesn't my Feed-Forward NN work with varying inputs?
I decided to create a feedforward Neural Network without using any libraries. I am fairly new to the subject and completely self-trained. My Neural Network uses backpropagation to set the weights and...
View ArticleHow to modify display loss function for the Vectorised Feedforward network?
I was practicing vectorising the baackprop for a basic NN and I tried modifying a code for binary classification which was originally written for multi class classification. Code: import numpy as np...
View ArticleWhy is my neural network stagnating around a certain cost?
I am making a neural network that's supposed to be capable of identifying handwritten numbers using the Mnist database downloadable here. The network works perfectly with one to 5 examples but after...
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Doubtful predictions of Neural Network implemented in C++
I have created a Neural Network in C++ for approximating addition function y = x + y. I used a single hidden layer with 5 neurons. The values of x and y lie in the range 0 and 10. So before training, I...
View Articlewhy am I getting NaN in my neural network sometimes?
I recently wrote a neural network using a series of videos in youtube, the channel was coding train. It was written in js I wrote mine in java. It is working correct sometimes but other times I'm...
View ArticleHow do I encourage risk-taking in a feedfoward neural network?
I am doing my first real dive into Neural Networks, and I am trying to construct the classic "number-identification network" without any outside databases. After some initial testing, I have been...
View ArticleANN bypassing hidden layer for an input
I have just been set an assignment to calculate some ANN outputs and write an ANN. Simple stuff, done it before, so I don't need any help with general ANN stuff. However, there is something that is...
View ArticleBackpropagation for Neural Network - Python
I am writing a program to do neural network in python I am trying to set up the backpropagation algorithm. The basic idea is that I look through 5,000 training examples and collect the errors and find...
View ArticleNeural Networks: exact high level training algorithm
I am trying to make my very first Neural Network work. I designed it so that I can choose the number of layers and the number of nodes per layer freely. I had a hard time trying to implement back...
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