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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
Last synced: 8 days ago
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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 (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-02-13T04:05:32.000Z (over 3 years ago)
- Last Synced: 2024-10-23T00:05:57.583Z (17 days ago)
- Language: Jupyter Notebook
- Size: 1.94 MB
- Stars: 227
- Watchers: 12
- Forks: 86
- 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/)