{"id":9682,"date":"2026-08-10T10:10:14","date_gmt":"2026-08-10T10:10:14","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-deep-learning-mastery-build-your-ai-foundation-2025-3\/"},"modified":"2026-08-10T10:10:14","modified_gmt":"2026-08-10T10:10:14","slug":"udemy-deep-learning-mastery-build-your-ai-foundation-2025-3","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-deep-learning-mastery-build-your-ai-foundation-2025-3\/","title":{"rendered":"Udemy \u2013 Deep Learning Mastery: Build your AI Foundation 2025-3"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Deep Learning Mastery: Build your AI Foundation<\/strong>. Today, AI, large language models (LLMs), and large multimodal models (LMMs) are everywhere. But how do these large language models get their power? What is the underlying technology driving them? The answer is deep learning. In this course, participants will gain the foundational knowledge and practical skills needed to build powerful AI models from scratch with just a few lines of code. Whether you are a beginner in AI or an aspiring data scientist, this course will guide you through the core concepts of deep learning, including the Transformer architecture. Most importantly, you will gain the ability to build GPT-1-like language models using the Transformer architecture.<\/span><\/p>\n

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In this course, participants will gain a deep understanding of the core logic of deep learning algorithms and master the techniques for building deep neural networks. They will delve into various neural network architectures such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM), Gated Recurrent Units (GRU), and most importantly, the Transformer architecture that underpins all of the latest AI, Large Language Models (LLM), and Large Multimodal Models (LMM).<\/span><\/p>\n

What you will learn<\/span><\/h3>\n