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· 분류 : 외국도서 > 컴퓨터 > 기계이론
· ISBN : 9781032834832
· 쪽수 : 216쪽
· 출판일 : 2025-09-08
목차
Preface. Introduction to Artificial Intelligence and Deep Learning. The Evolution of Machine Learning: From Traditional Algorithms to Deep Learning Paradigms. Unpacking Neural Networks: The Brains Behind Deep Learning. Supervised Learning: Teaching Machines with Labeled Data. Unsupervised Learning: Discovering Patterns without Labels: Health Care, E-Commerce, and Cybersecurity. Reinforcement Learning: Machines that Learn by Doing. Convolutional Neural Networks: The Power Behind Image Recognition. Recurrent Neural Networks and its Applications in Time Series Data. Understanding the Role of Data in Deep Learning. The Impact of Transfer Learning and Pre-trained Models on Model Performance. From Feedforward to Transformers: An In-Depth Exploration of Deep Learning Architectures. Backpropagation and Gradient Descent: Key Techniques for Neural Network Optimization. Mitigating Overfitting and Underfitting in Deep Learning: A Comprehensive Study of Regularization Techniques. Ethical Frontiers in Artificial Intelligence: Addressing the Challenges of Machine Intelligence. Generative Adversarial Networks (GANs): A Paradigm Shift and Revolutionizing Content Creation with Artificial Intelligence Creativity. Sentiment Analysis and Machine Translation-based NLP for Human Language and Machine Understanding. Deep Reinforcement Learning: Bridging Learning and Control in Intelligent Systems. Optimizing Deep Learning Scalability: Harnessing Distributed Systems and Cloud Computing for Next-Generation AI. The Intersection of AI and the Internet of Things (IoT): Transforming Data into Intelligence. Quantum Computing with Artificial Intelligence: A Paradigm Shift in Intelligent Systems. Future Computational Power of AI Hardware: A Comparative Analysis of GPUs and TPUs. Reinforcement Learning-based Optimization Algorithms: A Survey. Autonomous Robot Navigation System Based on Double Deep Q-Network. Intelligent Robotics using Optimization Algorithms: A Survey. Future Directions in Artificial Intelligence: Trends, Challenges, and Human Implications. ?















