Implement a simple machine learning experiment
$250-750 USD
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
Project ID: #18719998
About the project
22 freelancers are bidding on average $575 for this job
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
I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/ More
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
Hi There, I am an Electrical & Software Engineer working since year 1999. I have got many skills, from software applications , AI in gaming , Virtual & Augmented reality to biomedical instruments, Avionics Communica More
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
Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machin More
hi i read all instruction please share more detail i did similar 5 task i will provide 5 star rating work thanks
Just starting. Looking for projects to sharpen my skills in deep learing. Relevant Skills and Experience Just starting out. Basic understanding for deep learning.
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
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
We are new here but our team consists of professionals in machine learning, deep learning and artificial intelligence, so we will surely do our best with the project.
Hello! My name is Alyona. I am representative of a company, which can successfully execute different small projects in IT sphere, connected with machine learning, deep learning, artificial intelligence, neural networks More
I have worked on pytorch with CNN, LSTM, RNN, Auto Encoder etc. through my training. I am passionate about Deep Learning and Machine Learning.
I am a researcher at a technical university in Germany. I have worked on reproducible research. I have worked on various open source projects like ISolveMath. I have worked on relation extraction from text, stock price More