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"Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning. This book covers intermediate and advanced levels of deep learning, including convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn. You will: Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn. Build face recognition and face detection capabilities Create speech-to-text and text-to-speech functionality Make chatbots using deep learning. "

"Artikel ini bertujuan untuk memberikan analisis mendalam tentang seni AI, meneliti teknik, dampak, dan implikasinya bagi dunia seni. Membahas peran AI dalam proses kreatif, menyoroti bagaimana algoritma pembelajaran mesin dan model generatif digunakan untuk menghasilkan karya seni. Membahas implikasi seni AI bagi dunia seni. Mengeksplorasi dampak karya seni yang dihasilkan AI pada praktik artistik, yang menentang gagasan konvensional tentang hak cipta dan orisinalitas. Selain itu, Artikel ini juga mengkaji bagaimana pengamat, kritikus dan institusi mempersepsi seni AI, menyoroti hubungan antara AI dan kreativitas manusia. Pertimbangan etis seputar seni AI juga dieksplorasi dalam artikel ini, termasuk permasalahan bias dan diskriminasi, transparansi algoritmik, dan peran seniman dalam proses kreatif seni AI. Artikel ini menggunakan metode analisis konseptual. Didasari oleh konsep family resemblance yang dicetuskan oleh Ludwig Wittgenstein, yang membahas akan bagaimana kategorisasi itu penting dalam memahami sebuah konsep.

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This article aims to provide an in-depth analysis of AI art, examining its techniques, impact and implications for the art world. Discusses the role of AI in the creative process, highlighting how machine learning algorithms and generative models are used to produce works of art. Discusses the implications of AI art for the art world. Explores the impact of AI-generated artwork on artistic practice, which defies conventional notions of copyright and originality. In addition, this article examines how observers, critics and institutions perceive AI art, highlighting the relationship between AI and human creativity. Ethical considerations around AI art are also explored in this article, including issues of bias and discrimination, algorithmic transparency, and the role of artists in the creative process of AI art. This article uses the method of conceptual analysis. Based on the concept of family resemblance that was coined by Ludwig Wittgenstein, who discusses how categorization is important in understanding a concept."

"Virtualization is a term that refers to the abstraction of computer resources on single computer controlled by Virtual Machine Monitor (VMM). Virtualization concept has to sideways, namely platform virtualization and application virtualization. This activity can be used for server consolidation, disaster recovery, validation, and new server testing. This technology can increase the utilization and flexsibility from physical resources to function as multiple logical operating system and application."