https://github.com/sayakpaul/hello-tensorflow

Contains accompanying Colab Notebook for my talk Hello, TensorFlow (bit.ly/gdg-goa-20).
https://github.com/sayakpaul/hello-tensorflow

tensorflow

Last synced: 2 months ago
JSON representation

Contains accompanying Colab Notebook for my talk Hello, TensorFlow (bit.ly/gdg-goa-20).

• Host: GitHub
• URL: https://github.com/sayakpaul/hello-tensorflow
• Owner: sayakpaul
• Created: 2020-03-28T05:55:40.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-03-29T15:03:10.000Z (over 6 years ago)
• Last Synced: 2025-06-23T22:03:35.864Z (about 1 year ago)
• Topics: tensorflow
• Language: Jupyter Notebook
• Homepage: http://bit.ly/gdg-goa-20
• Size: 490 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Hello-TensorFlow

Contains accompanying Colab Notebook for my talk Hello, TensorFlow ([bit.ly/gdg-goa-20](bit.ly/gdg-goa-20)). This was presented for [GDG Goa](https://www.gdggoa.com/) in an online session. The objective of the talk is to introduce basic Deep Learning recipes with TensorFlow (2.x) to beginners in a friendly way. 

## Contents:

- What is TensorFlow

  - Tensor

  - Flow

- Basic DL recipes

  - Data (features, labels)

  - Affine transformations

  - Loss functions

  - Gradient-based learning

  - Backpropagation

- Where DL fits within ML?

- Future directions