Difference between revisions of "Image Classification"
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* [http://lobe.ai/examples Lobe] aims to make it easy for anyone to train machine learning models. Free, private desktop application that has everything you need to take your machine learning ideas from prototype to production. This version of Lobe learns to look at images using image classification - categorizing an image into a single label overall. We are working to expand to more types of problems and data in future versions. | * [http://lobe.ai/examples Lobe] aims to make it easy for anyone to train machine learning models. Free, private desktop application that has everything you need to take your machine learning ideas from prototype to production. This version of Lobe learns to look at images using image classification - categorizing an image into a single label overall. We are working to expand to more types of problems and data in future versions. | ||
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| + | <b>How to Make an Image Classifier - Intro to Deep Learning #6 | ||
| + | </b><br>[[Creatives#Siraj Raval|Siraj Raval] We're going to make our own Image Classifier for cats & dogs in 40 lines of [[Python]]! First we'll go over the history of image classification, then we'll dive into the concepts behind convolutional networks and why they are so amazing. | ||
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Revision as of 21:31, 27 October 2020
Youtube search... ...Google search
- Image Retrieval / Object Detection
- (Deep) Convolutional Neural Network (DCNN/CNN)
- ResNet-50
- Image/Video Transfer Learning
- Lobe aims to make it easy for anyone to train machine learning models. Free, private desktop application that has everything you need to take your machine learning ideas from prototype to production. This version of Lobe learns to look at images using image classification - categorizing an image into a single label overall. We are working to expand to more types of problems and data in future versions.
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