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https://github.com/aqafridi/tensorflow-advanced-techniques
Most advanced Machine Learning and Artificial Intelligence techniques using TensorFlow: a free and open-source software library. AI is fun to grow exponentially in all aspect Once you know, how to use it.
https://github.com/aqafridi/tensorflow-advanced-techniques
computer-vision deep-learning gan machine-learning tensorflow tensorflow-tutorials
Last synced: 4 months ago
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Most advanced Machine Learning and Artificial Intelligence techniques using TensorFlow: a free and open-source software library. AI is fun to grow exponentially in all aspect Once you know, how to use it.
- Host: GitHub
- URL: https://github.com/aqafridi/tensorflow-advanced-techniques
- Owner: aqafridi
- License: mit
- Created: 2021-07-31T04:26:15.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-02-13T20:35:30.000Z (almost 3 years ago)
- Last Synced: 2024-10-10T08:41:03.963Z (4 months ago)
- Topics: computer-vision, deep-learning, gan, machine-learning, tensorflow, tensorflow-tutorials
- Language: Jupyter Notebook
- Homepage:
- Size: 78 MB
- Stars: 6
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# TensorFlow-Advanced-Techniques
Deeplearning.AI TensorFlow: Advanced Techniques Specialization
## Course 1: Custom Models, Layers, and Loss Functions with TensorFlow
* [**Week 1 - Functional APIs**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%201%20Functional%20APIs)
* [**Week 2 - Custom Loss Functions**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%202%20Custom%20Loss%20Functions)
* [**Week 3 - Custom Layers**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%203%20Custom%20Layers)
* [**Week 4 - Custom Models**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%204%20Custom%20Models)
* [**Week 5 - Callbacks**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Custom%20Models%2C%20Layers%2C%20and%20Loss%20Functions%20with%20TensorFlow/Week%205%20Callbacks)
## Course 2: Custom and Distributed Training with TensorFlow
* [**Week 1 - Differentiation and Gradients**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Custom%20and%20Distributed%20Training%20with%20TensorFlow/Week%201%20Differentiation%20and%20Gradients)
* [**Week 2 - Custom Training**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Custom%20and%20Distributed%20Training%20with%20TensorFlow/Week%202%20Custom%20Training)
* [**Week 3 - Graph Mode**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Custom%20and%20Distributed%20Training%20with%20TensorFlow/Week%203%20Graph%20Mode)
* [**Week 4 - Custom and Distributed Training with TensorFlow**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Custom%20and%20Distributed%20Training%20with%20TensorFlow/Week%204%20Distributed%20Training)
## Course 3: Advanced Computer Vision with TensorFlow
* [**Week 1 - Introduction to Computer Vision**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%201%20Introduction%20to%20Computer%20Vision)
* [**Week 2 - Object Detection**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%202%20Object%20Detection)
* [**Week 3 - Image Segmentation**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%203%20Image%20Segmentation)
* [**Week 4 - Visualization and Interpretability**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Advanced%20Computer%20Vision%20with%20TensorFlow/Week%204%20Visualization%20and%20Interpretability)
## Course 4: Generative Deep Learning with TensorFlow
* [**Week 1 - Style Transfer**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Generative%20Deep%20Learning%20with%20TensorFlow/Week%201%20Style%20Transfer)
* [**Week 2 - AutoEncoders**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Generative%20Deep%20Learning%20with%20TensorFlow/Week%202%20AutoEncoders)
* [**Week 3 - Variational AutoEncoders**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Generative%20Deep%20Learning%20with%20TensorFlow/Week%203%20Variational%20AutoEncoders)
* [**Week 4 - GANS**](https://github.com/aqafridi/TensorFlow-Advanced-Techniques/tree/main/Generative%20Deep%20Learning%20with%20TensorFlow/Week%204%20GANs)
## Certificate of Specialization
