Deep Neural Networks (DNNs) are artificial neural networks with many hidden layers. They transform inputs through these layers to learn complex features from data. DNNs excel in tasks like image and speech recognition, and natural language processing. Their success comes from learning from large datasets and using backpropagation to reduce errors. With more computing power and data, DNNs have become essential in deep learning. This post summarizes the SC4001 course at NTU, offering an overview of DNNs based on course notes and my insights.

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Greedy algorithms make the locally optimal choice on each iteration with the hope of finding a global optimum solution. They are typically used to solve optimization problems, and are usually more efficient than other algorithms. This post provides a comprehensive review of the algorithms covered in Lecture 6 of the SC2001 course in NTU, including Djikstra’s algorithm and Prim’s algorithm.

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An intelligent agent is a system that perceives its environment and takes actions that maximize its chances of successfully achieving its goals. Agents are used to build a wide variety of applications, including web search engines, recommender systems, smart home devices, and autonomous vehicles. The agent paradigm is also used to study human decision-making and to build artificial intelligence systems that interact with humans.

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Web security is a broad topic that covers a wide range of topics related to the security of web applications. It involves the protection of websites, web applications, and web services from unauthorized access, use, disclosure, disruption, modification, or destruction. It also involves the protection of user data and ensuring the integrity of the system by preventing unauthorized access and malicious activities.

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Cloud computing allows companies to store their infrastructures remotely via the internet, ultimately reducing costs and creating value. We will go through a high level overview of cloud computing to prepare for the final exam.

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