{"id":2280,"date":"2026-08-10T08:55:23","date_gmt":"2026-08-10T08:55:23","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/pluralsight-deep-learning-literacy-2022-5\/"},"modified":"2026-08-10T08:55:23","modified_gmt":"2026-08-10T08:55:23","slug":"pluralsight-deep-learning-literacy-2022-5","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/pluralsight-deep-learning-literacy-2022-5\/","title":{"rendered":"Pluralsight \u2013 Deep Learning Literacy 2022-5"},"content":{"rendered":"
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Descriptions<\/h2>\n

Deep Learning LiteracyDeep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep<\/span> learning<\/span> is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. This<\/span> path<\/span> is<\/span> focused on Deep Learning popular algorithms. We have pulled a series of examples to demonstrate how deep learning is embedded in our day to day lives. These are \u201cjust in time\u201d sort of courses that reflect the journey from problem to solution. The<\/span> path<\/span> is curated for Data enthusiasts that are eager to learn about Deep learning and foray into Data centered roles like Data scientist. This path will contain workable solutions This<\/span> path<\/span> is<\/span> designed to explore the application of Deep Learning in our day to day lives. This section focuses on a few essential concepts that help learn the basics of Deep Learning. You\u2019ll explore REcommender systems , GAN\u2019s, RNN\u2019s and Neural Networks.<\/p>\n

What you\u2019ll learn<\/h3>\n