DataHour: Deep Learning - Maths Behind Back-Propagation

DataHour: Deep Learning - Maths Behind Back-Propagation

16 Jul 202208:07am - 16 Jul 202209:07am

DataHour: Deep Learning - Maths Behind Back-Propagation

About the Event

Deep Learning is being used for modeling complex data like language, images, sequence etc. While we have many packages like Keras, Tensorflow which democratize deep learning architecture, we need to understand the mathematics behind the process.

In this DataHour, we will try to understand each step of forward-propagation and back-propagation in detail. We will apply formulas at each layer to see how data flows from one input layer to output layer. In back propagation we will apply calculus to see how gradients are used to update the weights. This will give a good understanding of the full cycle.

Prerequisites: Enthusiasm for learning Data Science and Deep Learning. 

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Who is this DataHour for?

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  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Razi Ahmed

Razi Ahmed

Data Science Manager at AB-InBev

Razi has over a decade long experience in data and analytics across a wide variety of domains including Telecom, Retail and Banking. He is experienced in executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing. Currently Razi is working with AB InBev, world’s leading brewing company, as Manager Data Science where he is a part of the marketing analytics and research vertical.You can follow him on Linkedin.

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