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Custom neural network training software

I want a custom neural network training software which will need to be in GUI. I will use it to train thousands of models from hundreds of csv files, each containing a couple thousand inputs (arranged in time series). I will use this program to monitor and select the best model(s) for each corresponding csv file. Once the training is done, I also need the program to show the results using graphs/statistics (r^2,MSE,mean,SD,variance,histogram,etc).

The training algorithm should use the Levenberg–Marquardt algorithm (feed-forward backprop) and the adaptive function should use the Gradient descent with momentum backpropagation. The ratio of train/validation/test data should also be customizable.

I will need the program to generate a large amount of models for each csv file based on the following commands:

1. Input. This may span across several csv files. Number of input may fall within a range, and given a step size. (ie. 5 inputs per day, stretching 10-100 days backward, step size = 10 day.)

2. Training parameters/number of outputs. This may be a function of the inputs. (ie. IF input between tomorrow and [tomorrow+X] days increases more than Y times, THEN 1, ELSE 0 {where X and Y are functions of inputs} )

3. Range of hidden layers (ie. 1-2)

4. Range of hidden nodes and step size

Example of a command: Nodes 20-60 for each available layer, step size = 20.

Example output:

1 Layer {(20),(40),(60)}

2 Layers {(20,0),(40,0),(60,0),(20,20),(40,20),(60,20),....(60,60)}

5. Transfer function (Hyperbolic tangent sigmoid, Log-sigmoid, or linear)

Using the examples above,

Command 1. will have 10 combinations (10, 20, 30, 40, 50, 60, 70, 80, 90, 100 days)

Command. 2. will have 1 combination.

Command 3. will have 2 combinations (1 hidden layer, 2 hidden layer)

Command 4 will have 18 combinations {(20),(40),(60)}u{(20,0),(40,0),(60,0),(20,20),(40,20),(60,20),....(60,60)}

Command no 5. Should have 3 combinations

Therefore, for each csv file, there should be 10 x 1 x 2 x 18 x 3 = 1080 models.

That’s about it. If possible, I would like the software to be able to run on multiple GPUs, if not that’s fine.

One more thing, I need the program to be able to run through multiple csv files. Additionally, I have no idea how to program, and I have very limited knowledge of neural networks so I may need some help/consultations about certain things. If you are interested, I will go into further detail.

Færdigheder: Maskinoplæring, Programming, Software Udvikling

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Om arbejdsgiveren:
( 0 bedømmelser ) Thailand

Projekt-ID: #12551109

9 freelancere byder i gennemsnit $2925 for dette job

RSRCH

Hello, I am a PhD student studying on Artifical Intelligence and Neural Networks, Statistical and Adaptive Signal Processing and quite strong in MATLAB. I did some similar projects recently. Thanks RSRCH

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songblue

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thecloudkernel

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lnarayanan90

Hello, It is a very interesting initiative and am willing to get involved and complete the software. My skill-sets range from implementing Neural Nets, with the activations, backprop , update methods as you have Mere

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abraham66

I have previously created a neural network for stock prices time series prediction. It took the past closing price as an input, used two hidden layers with 10 nodes in each layer, and would predict the tomorrow's price Mere

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