Questions tagged [neural-networks]

Questions involving defining, training, executing, importing and exporting neural networks.

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NetDecoder using InverseShortTimeFourier, InverseSpectrogram, or Audio, etc., Possible?

I'm finding it impossible to create a NetDecoder to function as the inverse equivalent of, e.g., NetEncoder["AudioSTFT"], ...
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1answer
79 views

Transform function {a,b} ->{x,y} ; how to?

I have a 2D list of values that I want to transform/calibrate to another 2D list. I thought of using a predict function but I couldn’t get it to output 2 values. —...
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Measuring Degree Correlations of Networks

I'm trying to write a program that will measure the degree correlation of the network. The theory is here (page 8). I've written something like this up to now: ...
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48 views

Distance matrix inside a neural net

So what I would like to do is to create a NetGraph that takes in an $n\times 3$ (with $n$ varying in length) list of 3D coordinates as an input and creates an $n \times n$ distance matrix or an $\frac{...
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53 views

How to train custom objects using YOLO in Mathematica?

I want to train few custom object using YOLO V2 architecture but not sure how to do this. I know that with the NetTake and NetReplace, this is achievable. Can someone point out me in the right ...
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Deep neural network training on large datasets

I am training a deep net on large training dataset. I read the tutorial from the following link: Training on Large Datasets. I have put each predictor-preditand tuple into a separate mx file. My ...
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1answer
51 views

Classifying numeric vector data [closed]

Neural Networks seem so complex these days. Can anyone please suggest a simple structure (i.e. code) for training numeric vector data: examples of 24 numeric inputs to produce 1 (integer) numeric ...
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12 views

Best approach to Save the BestValidationRound throughout training

I have a network that I would like to train.I would like at the end of training to be able to have the BestValidationRound, from all training Rounds. I would not want to have ...
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3answers
70 views

Unable to attach a new NetDecoder to a NetModel following the documentation

I am following the documentation in the page https://reference.wolfram.com/language/ref/NetModel.html. I am getting error when I try to execute the code given for attaching NetDecoder for a given ...
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52 views

Net layer that replicates last element

I am trying to design a neural network layer that takes in an array of dimensions n x 100, and produces an array of dimensions ...
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21 views

Output of TransposeLayer[] is not fully specified, but why?

So I created and initialized the following NetGraph: ...
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1answer
53 views

Image matching and transformation

I hope this picture can help me to be clearer. The triangles represent some values of an image (EDITED: positions). The same for the circles, but from a different image. Some values matches, some ...
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Change the FullSummaryGraphic size for deep neural networks

I am using the "FullSummaryGraphics" of a neural network: NetInformation[model,"FullSummaryGraphic"] After having the following result: I would like to modify ...
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1answer
78 views

Using a neural net to make predictions

I want to use a neural net to give predictions, but I am not sure where to start. I do know that I don't want to use the high-level Predict function. So what I ...
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1answer
116 views

Neural net with scalar Boolean output for binary classification

How can I create and train a neural network with a scalar Boolean output for binary classification, and hopefully have it automatically compute the "ErrorRate" ...
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0answers
55 views

NetGraph copying by reference

I have a GAN defined like so: GAN = NetGraph[{"gen" -> generator, "dis" -> discriminator}, {"gen" -> "dis"}]; My question is if I use NetTrain on ...
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1answer
87 views

NetTrain does not update the parameters of NetSharedArray

I am attempting to use a Neural Network to solve differential equations based on a method I read in a paper. This involves constructing multiple separate NetGraph ...
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1answer
47 views

Output of the trained neural network for a set of inputs

Sorry if this was too trivial but I want to get the output of the neural network I trained for the specific inputs that I feed. The notation I often saw was of TrainedNet[inp] kind. But when I use ...
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67 views

Error Histogram of a Neural Network

Can you plot the error histogram of a trained network (with test, train and validation sets if possible but one would be enough)? Matlab Easily does that for you but I could not find a function that ...
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23 views

Transfer learning with different input size

How to do transfer learning for the input of dimension (64x64x1)using Resnet-50, which has three-channel input (224x224x3)?
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2answers
198 views

Custom SGD optimizer in Mathematica neural network framework?

I have a new approach to SGD optimizer, and thought to try to test it in Mathematica. It uses gradients to simultaneously maintain online parabola model for smarter choice of step size - I only need ...
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1answer
55 views

Chaining NetGraphs

I have two NetGraphs, each with 3 different input ports ("Input","Random1","Random2"), the first with 2 outputs ("Output" and "Loss") and the second with one output "Final_Out". All I want to do is "...
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0answers
120 views

How to generate names with a GAN?

I'd like a tutorial for text generation using GANs, specifically for names. I have a list of company names and would like the network to generate novel ones. This is one of the only few examples of ...
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34 views

No progress on validation NN training set

So in short my issue is that I'am training a neural network and while the training loss reduces over time, the loss of validation set remains constant. The progress of training looks like this: I am ...
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2answers
213 views

Does Mathematica 12 support GT 730 CUDA?

I am getting the following error when I set the target device as GPU: NetTrain::trgdevegpu: TargetDevice -> GPU could not be used; a supported NVIDIA GPU was not found. If you are using an ...
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91 views

Gradient of neural network output with respect to input

Context: I'm studying adversarial attacks on neural networks. These attacks are grouped into targeted, where a legitimate input is changed by some imperceptible amount and the new input is miss-...
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71 views

How can one train a Neural Network in Mathematica such as to recognise and count all occurrences of a certain custom category in an image?

I'm trying to use Mathematica for the following task: (1) Get an aereal view of a certain area in Mongolia (2) Count the number of plots that contain houses, and the number of plots that contain ...
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1answer
96 views

Error during training neural network: input is not an integer between 1 and 100 although it is

I imported my data from Matlab in matrix form and tried to use it in a neural network as given below but I get the error that says the input is not an integer between 1 and 100 although it is. <...
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58 views

Possible NetTrain[] memory leak when training in GPU

I've just moved to Mathematica 12.0 (from 11.3) and sometimes NetTrain[] will fail with the following error: ...
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1answer
253 views

How do I create & train a neural net to predict a stock closing price at T+5min using OHLC and other data?

I'm trying to create a neural network and train it to test predictability of short term stock price movements. I've collated a 1-min open, high, low, closing and volume dataset for a particular stock....
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0answers
96 views

Hessian of a loss function for a neural netwrok

Is a way to calculate the Hessian of the loss function in Mathematica. It's easy to define a loss function for neural nets but I couldn't figure out how to calculate the Hessian(more precisely I ...
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48 views

Loss function for an unsupervised neural network

I am trying to use a neural network approach to fit a model based on two sets of data: the "before" set and the "after" set. The "after" set is the subset of "before" examples that have survived to a ...
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48 views

Can we train a same network two times with Mathematica?

I have a simple question about Mathematica 11.3. Is is possible to train a model of neural network with NetTrain in several steps like with Keras? Perhaps do I have to (1) create my model, (2) train ...
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38 views

Splitting large matrix in neural network

I'm trying to make a neural network that takes a 16x100x100 matrix and splits it into each 100x100 part, puts each through a dense layer, and then puts them them together once again to form a 16x10x10 ...
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1answer
135 views

NetTrain Freezes Computer

I have a neural network I am trying to train: ...
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141 views

Export ImageCases to Python?

I’d like a tutorial on how to export a bounding box detector network to mxnet, (for bonus points: convert to Tensorflow), and then get it running correctly in python! Some related questions exist for ...
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36 views

Repeatedly download a NetModel

NetModel["Wolfram AudioIdentify V1 Trained on AudioSet Data"] I can download the NetModel, but once I quit the kernel, next time I should download the NetModel ...
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1answer
79 views

On Formatting Input Data When Training Neural Network in Mathematica

I'm trying to train the following structure of neural networknet with customized loss functionlossnet each code and structure ...
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123 views

How to implement graph neural networks in Mathematica?

Graph neural networks are useful for prediction tasks like predicting walks. In python I use DeepGraph typically, but I'm wondering what can be done in the new Version 12. Here's a nice introduction ...
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1answer
102 views

Plotting large scale image embeddings

I'm looking for help making publication-quality graphics for visualizing 2D embeddings of image datasets, so that they look like this: These two-dimensional embeddings of thumbnails (sometimes with ...
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2answers
212 views

Finding the symbolic expression for the loss function of a basic feed forward network

Is there any basic code available to get the symbolic expression of the cross entropy (and/or mean squared error) loss function for feed-forward neural network with one or more hidden layers in ...
3
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1answer
61 views

One-hot vectors encoding with NetEncoder

I have a text and vocabulary (text has two "the" entries): ...
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58 views

Dataset format for Neural Networks

I don't think I'm understanding the association form for data to neural networks. I wrote the following network which takes arrays of size (2, 100) as input, and outputs a length 100 vector. I thought ...
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1answer
113 views

Built-in way to draw LinearLayer graph

Newer versions of Mathematica come with built-in tooling for training and simulating neural networks. For a simple LinearLayer, e.g. ...
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1answer
85 views

UtilityFunction for actual and predicted values (machine learning)

In machine learning, the utility function for a classifier assigns the utility value to an actual value v(act) and a predicted value v(pred), typically e.g. in form of ...
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0answers
57 views

Improving the accuracy of the bounding box detection of TextRecognize

My problem concerns the text position detection in a scan. My goal is to find the bounding boxes of the text. ...
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1answer
78 views

Inferred inconsistent value for dimensions “loss”

I'm trying to write my first neural network in Mathematica: a simple autoencoder. The network takes as input an array of size (2, 100) and reconstructs a vector of length 100 (see below). I'm trying ...
6
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1answer
83 views

Neural network layer for vector normalization

We have a neural network that returns a vector $v$ with length $n$. However, these results $v_i$ must be normalized to unity so that their sum $\sum_{i=1} ^{n} v_i=1$. It must be done inside the ...
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0answers
71 views

Improving NetChain for Physical Data

I am trying to improve my NetChain to better predict physical data from the industrial standard for water/steam published by the IAPWS. Basically, this industrial ...
3
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1answer
87 views

Reccurent neural network

I watched the this video on YouTube and copied the code. Why it does not work in M12? I mean net[inData] and ...