https://github.com/dipanjans/tensorflow2-crash-course

A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
https://github.com/dipanjans/tensorflow2-crash-course

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A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API

• Host: GitHub
• URL: https://github.com/dipanjans/tensorflow2-crash-course
• Owner: dipanjanS
• License: gpl-3.0
• Created: 2021-02-13T03:54:41.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-02-13T04:05:32.000Z (about 4 years ago)
• Last Synced: 2025-02-08T11:51:14.504Z (13 days ago)
• Language: Jupyter Notebook
• Size: 1.94 MB
• Stars: 227
• Watchers: 12
• Forks: 87
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# TensorFlow 2 Crash Course 

A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API.

![](https://i.imgur.com/ZNRlig7.png)

# Essentials Include

- Understanding Tensors

- Understanding Layers in TensorFlow

- Tensor Operations

- Gradient Descent 

- Autodiff using Gradient Tape

- Custom Training Loops

- Sequential, Functional and Subclassing APIs

- Wide and Deep Networks

- Deep Learning Essentials

- Layers, Optimizers, Learning Rate

- Dense Neural Nets (ANNs)

- Activation Functions

- Batch Normalization, Dropout

- Dynamic Learning Rate Policies

- Convolutional Neural Networks (CNNs)





![](https://i.imgur.com/kZJDvHg.png)

__Author:__ [Dipanjan (DJ) Sarkar](https://www.linkedin.com/in/dipanzan/)