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Tensor Flow

This weekly talk document provides an overview of several machine learning topics including AML techniques, face recognition, exporting to Excel in Power BI, quality improvement tools, Power BI Embedded, code review comments, Azure data catalog, a case study on Graph and Azure ML, and BOT enhancements. It also summarizes a presentation on deep learning with TensorFlow, covering what deep learning and neural networks are, available frameworks, and providing a demo of TensorFlow.

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Ankit Shrivastava
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PPTX, PDF, TXT or read online on Scribd
164 views9 pages

Tensor Flow

This weekly talk document provides an overview of several machine learning topics including AML techniques, face recognition, exporting to Excel in Power BI, quality improvement tools, Power BI Embedded, code review comments, Azure data catalog, a case study on Graph and Azure ML, and BOT enhancements. It also summarizes a presentation on deep learning with TensorFlow, covering what deep learning and neural networks are, available frameworks, and providing a demo of TensorFlow.

Uploaded by

Ankit Shrivastava
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PPTX, PDF, TXT or read online on Scribd
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Weekly Talk

AML Techniques
– Dharmateja

“Learning is not attained by chance, Implementing a Face Recognition


– Nikhil M (Today)

Export to Excel in Power BI


it must be sought for with ardor and – Vaibhav A

diligence.”
Quality and process improvement tools
– Rakshit G

Power BI Embedded
- Abigail Adams – Ankit S

Code review comments for OND


– Hansraj T

ADC – Azure data catalog


COORDINATORS VIDEO CURATORS SETUP AND INFRA – Hansraj T

Nikhil M Roshan L Nikhil Kh IT and Admin team Case study on Graph and Azure ML
Sunil P Hatim D Bhanu J – Nikhil D
Snehal G Sheldon P
BOT enhancements
– Sagar S

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Deep Learning with TensorFlow

January 28, 2020


Ankit S
• What is Deep learning
• What is a Neural network
• Available frameworks
• TensorFlow
• Demo
What is Deep learning
• A branch of machine learning
• Uses multiple layers of neural networks
• Huge data + Computing power
• Vast range of applications
• e.g NLP, Self driving cars, ChatBots

4
What is a Neural network
• Inspired from human brain
• McCulloch & Pitts created first computational model
• Rosenblatt created Perceptron

5
Available frameworks

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TensorFlow
• Google’s open source machine learning library
• Designed to scale, supports multiple cpu and gpu cluster and
parallel execution
• Wrappers for multiple programming languages
• TFLearn is high level wrapper over TF, great for getting started

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Demo

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