Used TensorFlow

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Assistant Editor, KDnuggets
Mar 19, 2022

Recurrent Neural Network Tutorial (RNN)

Learn about the most popular deep learning model RNN and get hands-on experience by building a MasterCard stock price predictor.


What are Recurrent Neural Networks (RNN)

A recurrent neural network (RNN) is the type of artificial neural network (ANN) that is used in Apple’s Siri and Google’s voice search. RNN remembers past inputs due to an internal memory which is useful for predicting stock prices, generating text, transcriptions, and machine translation.
In the traditional neural network, the inputs and the outputs are independent of each other, whereas the output in RNN is dependent on prior elementals within the sequence. Recurrent networks also share parameters across each layer of the network. In feedforward networks, there are different weights across each node. Whereas RNN shares the same weights within each layer of the network and during gradient descent, the weights and basis are adjusted individually to reduce the loss.

Read more: Recurrent Neural Network Tutorial (RNN) - DataCamp
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Data Science Copywriter, DataCamp
Software Engineer, CertiK
Feb 18, 2022
I developed a machine learning model that can classify food images and deployed it as a RESTful API service using FastAPI, Docker and Heroku


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Assistant Editor, KDnuggets
Jan 10, 2022
I just published in @TDataScience Tips & Tricks of Deploying Deep Learning Webapp on Heroku Cloud https://towardsdatascience.com/tips-tricks-of-deploying-deep-learning-webapp-on-heroku-cloud-80ea9063211a
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Writer, Towards Data Science
Research Assistant, The Pennsylvania State University
Jan 01, 2022
Published an article titled
  Starting with TensorFlow Datasets -part 1; An intro to tf.datasets API

Where I introduce you to tf.dataset and it's powerful APIs to build data preprocessing pipelines.

link --> https://kvirajdatt.medium.com/starting-with-tensorflow-datasets-part-1-an-intro-to-tf-datasets-9a26e2db4995
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Research Assistant, The Pennsylvania State University
Dec 04, 2021
Wrote an article on passing TensorFlow Developer Article.

Here I articulate my motivations to complete the exam, the resources I used in preparation for the exam, a brief overview of the exam setting, some helpful snippets for the exam, the revision strategy that I used, organizing materials during the exam and all the code I wrote building up to the exam.

https://kvirajdatt.medium.com/tips-and-tricks-for-the-tensorflow-developer-certificate-exam-4a555f1adb38 
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Research Assistant, The Pennsylvania State University
Dec 04, 2021
Passed the TensorFlow Developer Certificate last week.
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