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YPDL-Banner

Your Path To Deep Learning

The majority of data in the world is unlabeled and unstructured, for instance, images, sound, and text data. Shallow neural networks cannot easily capture relevant structures within this type of data, but deep networks are capable of discovering the hidden structures. With the help of various frameworks we can build neural networks that allow us to demystify various use cases based on various industries and predict outcomes, thus they have now become an integral part of our day to day lives. 

As a follow-up to our Your Path to AI series which was conducted in 2020, we are now conducting Your Path to Deep Learning. A series which is mainly focused on the fundamentals of deep learning and with this series you will get an understanding of deep learning concepts, deep learning architectures, a comparison of deep learning frameworks and you will build various deep learning models throughout the series for linear and logistic regression, recurrent neural networks and Restricted Boltzmann Machines.

Prerequisites 🎈

Workshops included in the series

Series workshop resources

Session Name Speakers Session Resources Session Rcording
User Reviews Sentiment Analysis using Logistic Regression Naiyrah Hussain, Qamar un Nisa Click here to access session resouces Click here for recording
Identify Handwritten Digits using Convolutional Neural Networks with TensorFlow Anam Mahmood, Sbusiso Mkhombe Click here to access session resources Click here for recording
Language Processing using Recurrent Neural Networks with TensorFlow Karim Deif, Mridul Bhandari Click here to access session resources Click here for recording
Personalized Recommendation Engines with TensorFlow Asna Javed, Fawaz Siddiqi, Guest Speakers: Saif Ullah Bin Khaki, Salma Gherraby Click here to access session resources Click here for recording

Get your certificate & badge for the series!

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