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Aiamööbli komplekt TOMSON laud ja nurgadiivan, tumehall

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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives."Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceXDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Protsessori klass: Intel Core Ultra 7Operatiivmälu (RAM): 64 GBGarantii: 3 aastatArvuti tüüp: Äri;Teaduste, töö ja kodu jaoks;Mängude jaoks;UniversaalsedKõvaketas (HDD): 2 TBKõvaketas (SSD): 500 GB M.2 NVMEOperatsioonisüsteem: no-OS Videokaardi mälu: 8 GB GDDR7Protsessori mudel ja number: Intel Core Ultra 7 265KF 3.30-5.50GHzOperatiivmälu tüüp: DDR5Videokaart: Nvidia GeForce RTX5060TiOptiline seade: NODVDKaal: 11 kgToote seisukord: UusMudel: INTOPProtsessori tuumad: 20Vahemälu: 36 MBMaksimaalne operatiivmälu maht: 64 GBOperatiivmälu pesade kogus: 2HDD kiirus: 7200 rpmKõvaketta kontroller: SATA3 (6Gb/s)Videokaart tüüp: Nvidia GeForceIntegreeritud vörgukaart: Gigabit EthernetVörguühenduse kiirus: 10/100/1000 Mbit/sUSB 2.0 liideste arv: 5USB 3.1 Gen 1 liideste arv: 4Liidese tüüp: RJ-45; HDMI; DisplayPort; Audio in/Audio out; Mic; Bluetooth; Wi-FiToiteplokk: 600WArvuti suurus (P*L*K): 38*21*47Pakendi suurus (P*L*K): 52*47.5*24Case: Archon 2 Mesh White ARGB + CPU Aqua CoolingKiibistik: B860

James Baldwin’s final novel is “the work of a born storyteller at the height of his powers” (The New York Times Book Review).“Not everything is lost. Responsibility cannot be lost, it can only be abdicated. If one refuses abdication, one begins again.”The stark grief of a brother mourning a brother opens this stunning, unforgettable novel. Here, in a monumental saga of love and rage, James Baldwin goes back to Harlem, to the church of his groundbreaking novel Go Tell It on the Mountain, to the forbidden passion of Giovanni’s Room, and to the political fire that enflames his nonfiction work. Here, too, the story of gospel singer Arthur Hall and his family becomes both a journey into another country of the soul and senses—and a living contemporary history of black struggle in this land.

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