Classify Images of Cats and Dogs using Transfer Learning
This is a self-paced lab that takes place in the Google Cloud console. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. This lab uses transfer learning to train your machine. In transfer learning, when you build a new model to classify your original dataset, you reuse the feature extraction part and re-train the classification part with your dataset.
Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة 1 ساعات hours
- الطبع بواسطة Google Cloud
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Offered by
عن
This is a self-paced lab that takes place in the Google Cloud console. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. This lab uses transfer learning to train your machine. In transfer learning, when you build a new model to classify your original dataset, you reuse the feature extraction part and re-train the classification part with your dataset. This method uses less computational resources and training time. Deep learning from scratch can take days, but transfer learning can be done in short order.الوحدات
Classify Images of Cats and Dogs using Transfer Learning
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- Classify Images of Cats and Dogs using Transfer Learning
Auto Summary
Embark on a foundational journey into machine learning with the "Classify Images of Cats and Dogs using Transfer Learning" course. Designed for both aspiring and seasoned IT & Computer Science enthusiasts, this self-paced lab takes place within the Google Cloud console, leveraging the powerful TensorFlow platform. TensorFlow offers a vast, flexible ecosystem of tools, libraries, and community resources, enabling researchers to advance machine learning frontiers and developers to create and deploy ML-powered applications with ease. The course focuses on the efficient method of transfer learning, where you repurpose the feature extraction from an existing model and re-train the classification part using your dataset. This approach significantly reduces computational resources and training time, allowing you to achieve deep learning results in a fraction of the time it would take to start from scratch. Offered by Coursera, this lab can be completed in just one hour, making it a quick yet impactful learning experience. Subscriptions are available through Starter and Professional plans, catering to different levels of commitment and access needs. Suitable for learners at the foundational level, this course is a perfect entry point for those looking to gain practical skills in image classification using state-of-the-art machine learning techniques.
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