𝐀𝐳𝐮𝐫𝐞 𝐂𝐮𝐬𝐭𝐨𝐦 𝐕𝐢𝐬𝐢𝐨𝐧
* It is an image recognition service that lets you build, deploy, and improve your own image identifiers. An image identifier applies labels to images, according to their visual characteristics.
𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐯𝐢𝐬𝐢𝐨𝐧 & 𝐂𝐮𝐬𝐭𝐨𝐦 𝐕𝐢𝐬𝐢𝐨𝐧:
𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: The Classification model is already trained on some previously provided images.
𝐂𝐮𝐬𝐭𝐨𝐦 𝐕𝐢𝐬𝐢𝐨𝐧: We submit images from our side to train the Classification model.
𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐂𝐥𝐮𝐬𝐭𝐞𝐫𝐢𝐧𝐠:
* Classification and clustering are two methods used in machine learning.
𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: This model function classifies the data into one of numerous already defined definite classes, It is Supervised Machine learning. Training data (collection of labeled instances) is required. 𝐂𝐥𝐮𝐬𝐭𝐞𝐫𝐢𝐧𝐠: Clustering is an unsupervised machine learning technique. No training data is required.
We will cover:
👉 Custom AI algorithms
👉 Classification
👉 Clustering, Compute
👉 Compute and Automated ML
To know more about Azure AI Fundamentals. Check this blog at: https://k21academy.com/ai900day2
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