Help me fix a simple (toy) neural network (RNN) written in python using numpy

I have a simple mini-batch fed RNN written in python (numpy) that I can't get to function correctly. The data sets are tiny with only 15-20 examples and some data sets converge while others don't. With how tiny the data sets are; I can tell there is a deeper issue with the code. Anyone with an above average knowledge of recurrent neural networks can probably find the solution fairly quickly. I think it's with how I am handling the accumulating mini-batch deltas. The previous sentence should indicate if your understanding of RNNs is sufficient or not. If you understand what I'm referring to then you shouldn't have any issues completing this project. The goal of the project for you is to both find the core issues with the existing code (I'd like to know what I did wrong) as well as provide a corrected version of the code which converges. Please start your bid description by typing out what the acronym, "RNN", stands for so I can weed out the auto-bids. Lastly, please provide a brief description of your experience with RNNs (include examples). I pay fast, I pay well, and I give bonuses for above and beyond service. Happy Bidding.

Skills: Neural Networks, Python

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( 16 reviews ) Houston, United States

Project ID: #15363868

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To view my primary work profile [login to view URL] Have developed models for stock/forex market, for predictions Relevant Skills and Exp More

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4 freelancers are bidding on average $159 for this job


Hi RNNstands for recurrent neural network. I have understanding of RNN and made the sentence classification with RNN. I am interested in this job. Best. Zhang Relevant Skills and Experience I am familiar with numpy More

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I have a good hand on working with Advanced Excel, R and Python. I have quite a good knowledge of eep learning Algorithm , have also developed dashboards and Shiny Web Application in R. Relevant Skills and Experience More

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