Advancement of Deep Learning and its Applications in Object Detection and Recognition
Advancement of Deep Learning and its Applications in Object Detection and Recognition
by Roohie Naaz Mir

English | 2023 | ISBN: 1000880419 | 319 pages | True PDF | 26.05 MB


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Beatport After Hours Essencials Deep House [February 2023]
Beatport After Hours Essencials Deep House displays a variety of stylistic content of the material, that is, will be, and perhaps will be, just a discovery. As well as an addition to your collection and archives. And undoubtedly the acquisition of a definitely sustainable mood! Break 3000, Freque Boutique, Luigi Sambuy, Moray, Takuya Matsumoto! For almost two decades, The Beatport Group has been at the center of DJ culture. Since the founding in 2004, one mission has driven us: to provide world-class products and services that help DJs and Producers at all stages of their career to elevate their craft. Our indefinite pursuit of innovation and inspiration helps to lead the category and define the progression of DJ culture around the world.
Beatport After Hours Essencials Deep House [February 2023]
Soulful, Jackin, Deep Groove, Tech House, Slowhouse | Beatport Music
320 kbps | MP3 | unmixed | 08-02-2023 | 01:54:59 | 263 Mb


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Indian E-Commerce Industry Deep Dive
Course for MBA students, Industry Professionals and Business Consultants
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.03 GB | Duration: 3h 58m


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Deep Learning Avec Tensorflow Et Keras  Masterclass Python
Apprenez à utiliser Python pour du Deep Learning (et Machine Learning) avec TensorFlow 2 de Google et l'API Keras !
Dernière mise à jour : 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: Français | Size: 7.08 GB | Duration: 23h 0m


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Complete Tensorflow 2 And Keras Deep Learning Bootcamp
Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras!
Last updated 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.27 GB | Duration: 19h 12m


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Guided Meditation for Deep Sleep and Relaxation. Self-Hypnosis. Polyvagal Theory. Overcome Stress, Depression [Audiobook]
Guided Meditation for Deep Sleep and Relaxation. Self-Hypnosis. Polyvagal Theory.: Overcome Stress, Depression, Anxiety and Insomnia by Practicing Effective Relaxation Techniques, Minfulness Meditation, Self-Hyposis and Vagus Nerve Stimulation. (Audiobook)
English | ISBN: 9798368933306 | 2023 | 4 hours and 43 minutes | M4B@128 kbps | 232 MB
Author: Travis Cooper Goleman
Narrator: Brandon Reynold

If you are having trouble sleeping, there are strategies concluded that can assist in providing better sleep. You will learn about meditation. These techniques don't only have positive effects on mental health but also the physical health of oneself. You will be able to know the answer to your question, "Why can't I sleep?" since the causes of sleep disorders are explained well in this book. If you are having trouble relaxing and been looking for a way to control this, there are breathing exercises that can aid your need. Let this audiobook be your guide to discovering: Importance, types and benefits of meditation. How to choose the right place for meditation. Guided meditations for positive thinking, better sleep, anxiety and stress relief. Habits and affirmations for better sleep. Exercising the breath is a tried and true method of banishing unpleasant thoughts for good. How to deal with anxiety and the various types of meditation you should practice every day. Meditation tips a day. How self-hypnosis can be used to successfully alter entrenched thought and behavior patterns. The vagus nerve, its strength, stimulation, functions, and activation exercises. How to increase your self-healing ability.


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Deep House Selections Vol. 17 (2023)
Deep House Selections Vol. 17 is designed and signed as a reference on your choice of several exchangers file. Convenience, reliability and availability, is the property of our portal, efficiency and commitment to new heights, as well as the immensity of the creative transformation! Listen, familiarize and download the publication on this website. LW Recordings presents Deep House Selections with tracks and remixes from AN:TI, DarkSoulAir, Martin-es, Max Koval, Ben Zimmermann (De), Jean Aita, Jeremy Dub, Geo Angelo, Jacssen, Synthemesc, Alpha Citizens, Joe Silva, Roque, Meedle, GgDex, DJ Octopuz, Luu97deep, Junior Simba, Might i, Trife, SeasonDeep, Mouse Le Rat, 2WB, East Dawn, Cal Kinnear, Libs & Parcel!
Deep House Selections Vol. 17 (2023)
Slowhouse, Jackin, Deep Groove, Soulful, Light Music | LW Recordings
320 kbps | MP3 | unmixed | 17-02-2023 | 02:38:12 | 362 Mb


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DEEP INSIDE SMUTTY BRATS
DEEP INSIDE SMUTTY BRATS: A Steamy & Naughty Collection of Erotia Short Stories for Women: Virgin Sex, MMF Threesomes, Adult Menage, BDSM, Forbidden Family, Age-Gap Old Men by MIRIAM CAGLE
English | 2022 | ISBN: N/A | ASIN: B0BRD6N6WR | 240 pages | EPUB | 0.24 Mb
It compiles lots of hot, sweaty erotic sex stories that are sure to keep you occupied for hours. Allow yourself to be lost in this fantasy world, and the rest is up to you.


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Deep Learning and Scientific Computing with R torch
Deep Learning and Scientific Computing with R torch
English | 2023 | ISBN: 1032231386 | 414 Pages | PDF (True) | 11 MB
torch is an R port of PyTorch, one of the two most-employed deep learning frameworks in industry and research. It is also an excellent tool to use in scientific computations. It is written entirely in R and C/C++.


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Applications of Machine Learning and Deep Learning on Biological Data
Applications of Machine Learning and Deep Learning on Biological Data
English | 2023 | ISBN: 1032214376 | 211 Pages | PDF (True) | 7 MB
The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and deep learning (DL) have increased the speed and efficacy of programming such algorithms.


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