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Tensorflow Advanced Technique Specialization - Solution

Home Page: https://www.coursera.org/specializations/tensorflow-advanced-techniques

License: MIT License

Jupyter Notebook 100.00%
computer-vision coursera coursera-specialization custom-model custom-training deep-learning deeplearning-ai distributed-training generative-ai image-detection image-segmentation-tensorflow machine-learning object-detection object-detection-model semantic-segmentation specialization tensorflow tensorflow-tutorials visualization

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Course Link

Deeplearning.AI TensorFlow: Advanced Techniques Specialization Solution : Certificate Example

Course 1: Custom Models, Layers, and Loss Functions with TensorFlow

Image

Sr Weeks Links (Solution Of Required Labs & Quiz)
1 Week-1 : Functional API Solution Link
2 Week-2 : Custom Loss Functions Solution Link
3 Week-3 : Custom Layers Solution Link
4 Week-4 : Custom Models, Layers, and Loss Functions with Tensorflow Solution Link

Course 2: Custom and Distributed Training with TensorFlow

Image

Sr Weeks Links (Solution Of Required Labs & Quiz)
1 Week-1 : Differentiation and Gradients Solution Link
2 Week-2 : Custom Training Solution Link
3 Week-3 : Graph Mode Solution Link
4 Week-4 : Custom and Distribnuted Training with Tensorflow Solution Link

Course 3: Advanced Computer Vision with TensorFlow

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Sr Weeks Links (Solution Of Required Labs & Quiz)
1 Week-1 : Introduction to Computer Vision Solution Link
2 Week-2 : Object Detection Solution Link
3 Week-3 : Image Segmentation Solution Link
4 Week-4 : Visualization and Interpretability Solution Link

Course 4: Generative Deep Learning with TensorFlow

Image

Sr Weeks Links (Solution Of Required Labs & Quiz)
1 Week-1 : Style Transfer Solution Link
2 Week-2 : AutoEncoders Solution Link
3 Week-3 : Variance AutoEncoders Solution Link
4 Week-4 : GANS Solution Link

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