Prajjwal Bhargava
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Prajjwal Bhargava

India

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Prajjwal B. posted an update in Movidius™ Neural Compute Group

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Prajjwal Bhargava

I am currently working upon https://devmesh.intel.com/projects/feedforward-nlp. Since complex NLP tasks such as speech recognition, machine translation require computationally expensive processing. In this research paper by Google brain https://arxiv.org/abs/1708.00214 . , it has been shown that we can acheive great results using shallow feedforward networks which are not so deep and can achieve quite amazing results considering the device which you are using. I plan to implement it on a low powered device and hope to achieve considerable results since it has immense practical application. Hardware is a major constraint when it comes to deep learning, and if we are somehow able to implment it on a low powered device (such as Android device) for that matter, then it would be really hepful for everyone. Github repository : https://github.com/prajjwal1/feedforward-NLP

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Prajjwal B. created project digit-recognition-using-cnn

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digit-recognition-using-cnn

Digit recognition using convolutional neural network

Overview

A web application that recognizes handwritten digits. This application has been made using

TensorFlow Keras Flask This model was trained using the MNIST Handwritten digits dataset.

To update tensorflow and keras to their latest version use this

$ sudo pip install tensorflow -upgrade $ sudo pip install keras -upgrade Acquiring the repository

$ git clone https://github.com/prajjwal1/convolutional-neural-netwok.git $ cd imagerecognitionusingcnnweb_app Dependencies

$ sudo pip install -r dependencies.txt To run the server use this:

$ python app.py Note the address and open it on your browser. Press ctrl-c to terminate

Traning the model

To train the model for yourself:

$ python train.py It's recommended that you use Tensorflow with gpu support (CUDA).

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About

Areas I am deeply interested in: - Machine learning - Deep learning - Natural language processing - Reinforcement learning - Computer vision Blog: https://prajjwal1.github.io . Gtihub: https://github.com/prajjwal1 Youtube : https://youtube.com/c/aijournal Twitter: https://twitter.com/prajjwal_1

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