shreyasvedpathak/Tensorflow-Advanced-Techniques-Solutions

This repository contains my solutions for the Coursera course TensorFlow: Advanced Techniques Specialization. Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs.

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This collection of solutions helps machine learning engineers and researchers enhance their deep learning models. It takes raw data, such as images, and demonstrates how to build and optimize advanced neural networks to produce outputs like object detections, segmented images, or even entirely new generated content. The target user is someone with a foundational understanding of TensorFlow looking to expand into more complex model architectures and training strategies.

No commits in the last 6 months.

Use this if you are a machine learning practitioner looking to deepen your understanding and implementation skills in advanced TensorFlow techniques for computer vision and generative AI.

Not ideal if you are new to deep learning or TensorFlow, as it assumes prior knowledge of basic concepts and programming.

deep-learning computer-vision generative-ai model-optimization neural-network-design
No License Stale 6m No Package No Dependents
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Adoption 7 / 25
Maturity 8 / 25
Community 18 / 25

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tensorflow-certificate-courses

Last pushed

Jun 22, 2021

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TensorFlow Certificate Courses · 180 frameworks

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