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What is Transfer Learning in Deep Learning? [Examples & Application]

Pickl AI

Thus it reduces the amount of data and computational need. Transfer Learning has various applications like computer vision, NLP, recommendation systems, and robotics. Examples of Transfer Learning in Deep Learning include: Using a pre-trained image classification network for a new image classification task with a similar dataset.

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Computer Vision Tasks (Comprehensive 2024 Guide)

Viso.ai

State of Computer Vision Tasks in 2024 The field of computer vision today involves advanced AI algorithms and architectures, such as convolutional neural networks (CNNs) and vision transformers ( ViTs ), to process, analyze, and extract relevant patterns from visual data. Get a demo here.