Tensor flow Flame (Training Only)

 35,046.00

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Description

Deep Learning with TensorFlow Overview

Deep learning and data science are the careers of the future, fueled by the transformative potential of big data. Deep learning has revolutionized industries like healthcare, genomics, cybersecurity, e-commerce, and agriculture, offering innovative solutions to complex problems. Unlike traditional neural networks, deep-learning networks utilize multiple hidden layers, enabling more intricate and accurate data processing.

TensorFlow, developed by Google, is one of the most sought-after libraries for implementing advanced deep-learning techniques. Its ability to perform numerical computations of mathematical expressions through data flow graphs has made it a critical tool for deep learning engineers.

This workshop will equip you with an in-depth understanding of TensorFlow and its application in building and optimizing deep neural networks. Through practical, hands-on learning, you will explore real-world problems and master deep-learning concepts that bridge the gap between research and application.

Why Choose This Deep Learning Workshop?

  • Gain expertise in TensorFlow and its libraries.
  • Learn how to implement deep learning for real-world applications.
  • Develop the skills to tackle research-driven and industry-specific deep learning challenges.

 

Curriculum

1 Getting started with TensorFlow

2 Overview of TensorFlow
3 Feed-forward neural networks with TensorFlow
4 Convolutional Neural Network (CNN)
5 Optimizing TensorFlow Autoencoders
6 Recurrent Neural Networks
7 Heterogeneous and Distributed Computing
8 Recommendation Systems Using Factorization Machines

Additional information

Schedule

Dec 05 – Dec 06 (08.00 AM – 05:00 PM) Madhavi Ledella, Dec 06 – Dec 08 (06:30 PM – 11:30 PM) Rafael Sabbagh, Dec 07 – Dec 08 (08:00 AM – 05:00 PM) Gaurav Rastogi

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