https://github.com/shubham99bisht/learning-tensorflow

My experiments on Tensorflow while I was learning. A good source for any new beginner.
https://github.com/shubham99bisht/learning-tensorflow

deep-learning neural-networks tensorflow-examples tensorflow-experiments tensorflow-tutorials

Last synced: 16 days ago
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My experiments on Tensorflow while I was learning. A good source for any new beginner.

• Host: GitHub
• URL: https://github.com/shubham99bisht/learning-tensorflow
• Owner: shubham99bisht
• Created: 2020-04-13T18:16:30.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-04-24T18:07:25.000Z (over 4 years ago)
• Last Synced: 2024-10-11T08:41:40.964Z (about 1 month ago)
• Topics: deep-learning, neural-networks, tensorflow-examples, tensorflow-experiments, tensorflow-tutorials
• Language: Jupyter Notebook
• Size: 957 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Learning-TensorFlow

In this Repository you'll see how TensorFlow easily addresses concerns like Data Loading, Pre-processing steps, Developing sophisticated machine learning solutions etc.



## About this Repository

My experiments on Tensorflow while I was learning. A good source for any new beginner.


This Repository contains small codes that I've written while learning from online resources. Course Links have been mentioned below.

First, you'll be introduced to the installation process, building simple and advanced models, and utilizing additional libraries that make development even easier.

Along the way, you'll learn how the unique architecture in TensorFlow lets you develop amazing large networks (models) with ease and helps in debugging and monitoring through TensorBoard.

Finally, you'll explore using TensorFlow with neural networks in general, and specifically with powerful deep neural networks. By the time you go through all the code snippets, you'll have a solid foundation on using TensorFlow, and have the knowledge to apply TensorFlow to create your own machine learning solutions.

## Folder Structure

1. Getting Started

2. Basic Projects

3. Advanced Projects

The file [project_list.md](https://github.com/shubham99bisht/Learning-TensorFlow/blob/master/Project_List.md) lists all the projects and their location for easily navigation to the right code.

## Credits to Courses I've taken:

1. TensorFlow: Getting Started by Jerry Kurata at [PluralSight](https://app.pluralsight.com/library/)

2. Understanding the Foundations of TensorFlow by Janani Ravi at [PluralSight](https://app.pluralsight.com/library/)