Questions tagged [neural-network]

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Open-source iterative solvers robust to noise?

I need to solve $Ax=b$ in about 1 million dimensions. Furthermore, A is only accessible through matrix vector products, and these are noisy/inexact. Is there any solver with Python interface I can try ...
2
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1answer
87 views

Is there a way to return a substring of a string using Convolutional Neural Networks?

I'm a PhD student in genetics and molecular biology working on an algorithm to identify if a DNA sequence is either a transposable element (TE) or not a TE using convolutional neural networks, and it'...
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65 views

Efficient inversion of multidimensional non linear function

I have a function $f:x\mapsto \vec{y}$ with $x \in [0,1]$ and $\vec{y}=(y_1,...,y_n) \in \mathbb{R}^n$. $n$ is a small integer e.g. $n=8$. Each of the component functions in $y_i(x)$ "oscilate" up and ...
2
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1answer
72 views

Activation function with special conditions in machine learning

I only have a basic understanding of deep learning, but looking through it I had an idea on how to approximate global minima of the NN. However, for it's activation function I am only able to use: ...
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1answer
48 views

Training accuracy improves but test set accuracy remains the same

I have built an ANN model with 5 hidden layers and 100 nodes in each layer to solve a multilabel classification problem. After the first run, I get a training accuracy of ~66% and a test set accuracy ...
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0answers
118 views

Why is the method of im2col with GEMM is more efficient than the method of direction implementation with SIMD in CNN

The convolutional layers are most computationally intense parts of Convolutional neural networks (CNNs).Currently the common approach to impement convolutional layers is to expand the image into a ...
2
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1answer
121 views

Artificial neural networks for Temperature prediction

Imagine I want to consider the temperature for a process given several input varibales. The temperature can be anywhere between 400 and 500 K. Consider I have experimental data to train the network ...
0
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1answer
108 views

Anyone who knows fine neural network code or module for python?

I want to change my main platform from Matlab to Python due to my work, and I mainly used Matlab for the neural network, so I want to do the same thing in the Python either. I used to make my own ...
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0answers
95 views

Is there any ML solutions for permutations?

In Machine Learning field, is there any work done, or research, or info in general about finding optimal permutations? For eg. to find a number of optimal arrangements of sliced shapes on 2D sheet of ...
2
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1answer
124 views

Why can't we just use machine learning to select which model to use for a given model?

Suppose you have a classification problem, now what if I implement and train all classification models like logistic regression, KKN, naive Bayes, decision tree or random forest on the training data ...
2
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0answers
61 views

How to model pedestrian flow through subway systems?

I'm a New Yorker and take the subways every day. I have a growing interest inĀ understanding the distribution of paths people take on the subways to work every day. I.e. if there are $n$ subway ...
7
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3answers
905 views

Power of complex-valued neural network

I often see neural networks extended to complex-values. Those networks allow complex input, complex parameters, and complex output. My understanding is that the inner products and point nonlinearities ...