TensorFlow-Advanced-Techniques-Specialization
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Course Link
Deeplearning.AI TensorFlow: Advanced Techniques Specialization Solution
Course 1: Custom Models, Layers, and Loss Functions with TensorFlow
![](https://github.com/ashishpatel26/TensorFlow-Advanced-Techniques-Specialization/blob/main/images/Course1.jpg)
Sr |
Weeks |
Link |
1 |
Functional API |
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2 |
Custom Loss Functions |
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3 |
Custom Layers |
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4 |
Custom Models, Layers, and Loss Functions with Tensorflow |
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Course 2: Custom and Distributed Training with TensorFlow
![](https://github.com/ashishpatel26/TensorFlow-Advanced-Techniques-Specialization/blob/main/images/Course2.jpg)
Sr |
Weeks |
Link |
1 |
Differentiation and Gradients |
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2 |
Custom Training |
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3 |
Graph Mode |
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4 |
Custom and Distribnuted Training with Tensorflow |
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Course 3: Advanced Computer Vision with TensorFlow
![](https://github.com/ashishpatel26/TensorFlow-Advanced-Techniques-Specialization/blob/main/images/Course3.jpg)
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Weeks |
Link |
1 |
Introduction to Computer Vision |
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2 |
Object Detection |
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3 |
Image Segmentation |
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4 |
Visualization and Interpretability |
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Course 4: Generative Deep Learning with TensorFlow
![](https://github.com/ashishpatel26/TensorFlow-Advanced-Techniques-Specialization/blob/main/images/Course4.jpg)
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Weeks |
Link |
1 |
Style Transfer |
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2 |
AutoEncoders |
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3 |
Variance AutoEncoders |
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4 |
GANS |
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