Neural 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...
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 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 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 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...
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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 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...
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 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 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 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 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 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 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 ArticleImplementing 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 ArticleWhy is spark library using outputs(i+1) in MultilayerPerceptron for previous...
Looking at this code for (i <- (L - 2) to (0, -1)) { layerModels(i + 1).computePrevDelta(deltas(i + 1), outputs(i + 1), deltas(i)) } I want to understand why are we passing outputs(i+1) instead of...
View ArticleNeural Network Feed Forward Back Propagation based learning not working for...
My Neural network is able to learn if the sample is OR or XOR table. However, if i want it to learn AND table, it refuses. NN Config: 1 input layer with 2 input neurons 1 hidden layer with 3 neurons 1...
View ArticleNeural Net converges to minima, but only works when all the training data is...
I am new to Neural Networks and I wrote the following code of Feed forward neural network as to perform 3 bit Binary Counter. What I found with the output of my code was when I tried predicting after...
View ArticleSetting up Back propagation net with 150k training samples
I am trying to build a backpropagation neural net to classify 150k thousand accounts of loans. Each account has data on age, average income, and date they were issued the loan. I also have to target...
View ArticleWeights in feed-forward backpropogation ANN not changing
I am designing a Feed-Forward BackPropogation ANN with 22 inputs and 1 output (either a 1 or 0). The NN has 3 layers and is using 10 hidden neurons. When I run the NN it only changes the weights a...
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