Implement a simple machine learning experiment

Closed Posted 5 years ago Paid on delivery
Closed Paid on delivery

Your job will be to set up an experiment for a simple (but novel) idea for a neural network application.

The first stage will be to set up some configuration for fast training of a large data set. E.g. one of those here: [login to view URL]

You'll choose one of these and set it up to run on a single local machine using its GPU.

Next, you will implement an idea for further accelerating the training. To give a very rough analogy of what we're trying to achieve, take a look at [login to view URL] (our idea is completely different and will be shared with you under NDA.)

Your code should be within a jupyter notebook running locally, using either a library (e.g. pytorch) that we'll agree on, and display key metrics (such as the learning curve) while the network is being trained.

Although the training above implies using mostly convolutional nets, the work involves an RNN as well.

When you submit, please concisely describe the most sophisticated RNN that you trained. What problem was it trying to solve, what was the network architecture you chose, how much training data did you use, etc

Artificial Intelligence C++ Programming Java Machine Learning (ML) Python

Project ID: #18719998

About the project

22 proposals Remote project Active 5 years ago

22 freelancers are bidding on average $575 for this job

rajdeepa555

Hello sir, To be very specific , yes I have extensive experience working on deep learning models. I have trained my model on GPUs. and train our model using a very big dataset. I checked your requirements and have g More

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(79 Reviews)
7.0
leemilun

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(68 Reviews)
6.7
shivampanchal

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schoudhary1553

Hello, I have gone through your job posting and become very much interested to work with you. I am an expert in this field. I have already completed several projects like this. For evidence you can see my profile. More

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(83 Reviews)
6.7
RaspberryOculus

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(11 Reviews)
6.6
nkoutroumpinis

Hey there, I think the most sophisticated RNN that i have implemented was used for some very weird EEG signals that i had from a client. The architecture was "stacked" but the most sophisticated thing about was manag More

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(21 Reviews)
6.1
uzairrzahid

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KashirinA

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4.3
mukesh30march

hi i read all instruction please share more detail i did similar 5 task i will provide 5 star rating work thanks

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(28 Reviews)
4.8
bdrudra

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mjtcatanaoan

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ranjansarwade

I have worked on many deep learning projects before and have applied Machine Learning Algorithms on many standard datasets. I am an expert in hyperparameter tuning and can get decent levels of accuracies. I have no ra More

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anirban1612

I have 5 years of experience with Python language. I have modelled research level physics problems in python and have good experience with data visualization. I have started working with Tensorflow for Machine learning More

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nattie985

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amelpomenem

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vikashC1997

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purvanshi11

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0.0