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Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)
When we don't have enough training samples to cover diverse cases in image classification, often CNN might overfit. To address this we use a technique called data augmentation in deep learning. Data augmentation is used to generate new training samples from current training set using various transformations such as scaling, rotation, contrast ...
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codeN’ on Instagram: "Comment “Project” to get all the details in your DM. Program Snapshot - An intensive offline winter training focused entirely on building one complete, industry-grade project. Students work end-to-end under mentor guidance, with outcomes suitable for Minor or Major college projects and professional portfolios. Project Highlights- 1. MERN Stack Track Build a real-world Learning Management System (LMS) covering frontend, backend, and deployment. Includes authentication, role-
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codeN’ on Instagram: "Comment “Project” to get all the details in your DM. Program Snapshot - An intensive offline winter training focused entirely on building one complete, industry-grade project. Students work end-to-end under mentor guidance, with outcomes suitable for Minor or Major college projects and professional portfolios. Project Highlights- 1. MERN Stack Track Build a real-world Learning Management System (LMS) covering frontend, backend, and deployment. Includes authentication, role-
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An AI data center is being advanced in Saline, Michigan, and DTE provided only a heavily redacted contract with the most important parts hidden. If data centers are “good for Michigan” (debatable!) then why can’t we have transparency? #michigan #saline #datacenter #fupシ
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An AI data center is being advanced in Saline, Michigan, and DTE provided only a heavily redacted contract with the most important parts hidden. If data centers are “good for Michigan” (debatable!) then why can’t we have transparency? #michigan #saline #datacenter #fupシ
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