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Category: Music
VA - Networks. 1 [An Intellinet Compilation] (1995)
Artist: VA
Title: Networks. 1 [An Intellinet Compilation]
Year Of Release: 1995
Label: Studio !K7
Genre: Techno
Quality: MP3 320 kbps / FLAC (tracks+.cue+log)
Total Time: 01:17:40
Total Size: 178 Mb / 412 Mb



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Category: Tutorial
Advanced Neural Networks with Tensorflow
Advanced Neural Networks with Tensorflow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 534 MB
Genre: eLearning | Language: English

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Category: E-Book
Geometric Spanner Networks

Giri Narasimhan, Michiel Smid, "Geometric Spanner Networks"
2007 | pages: 518 | ISBN: 0521815134 | PDF | 4,2 mb
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Category: E-Book
Information Processing and Routing in Wireless Sensor Networks

Yang Yu, Viktor K. Prasanna, Bhaskar Krishnamachari, "Information Processing and Routing in Wireless Sensor Networks"
2006 | pages: 202 | ISBN: 981270146X | PDF | 11,0 mb
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Category: Tutorial
Building Neural Networks with CNTK Using a Data Science Virtual Machine

Building Neural Networks with CNTK Using a Data Science Virtual Machine
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 1 Hour | 511 MB
Genre: eLearning | Language: English

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Category: Tutorial
Learning Generative Adversarial Networks
Learning Generative Adversarial Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: | 460 MB
Genre: eLearning | Language: English

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Category: Tutorial
http://picload.org/image/ddwacdcr/s.jpg

CS231n: Convolutional Neural Networks (Deep Learning)
English | Size: 4.75 GB
Category: tUTORIAL

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This course is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. During the 10-week course, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision. The final assignment will involve training a multi-million parameter convolutional neural network and applying it on the largest image classification dataset (ImageNet). We will focus on teaching how to set up the problem of image recognition, the learning algorithms (e.g. backpropagation), practical engineering tricks for training and fine-tuning the networks and guide the students through hands-on assignments and a final course project. Much of the background and materials of this course will be drawn from the ImageNet Challenge.
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Category: Tutorial
Building Neural Networks with CNTK Using Apache Spark and Azure HDInsight

Building Neural Networks with CNTK Using Apache Spark and Azure HDInsight
.MP4, AVC, 461 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 41 mins | 210 MB
Instructor: Mark Tabladillo

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Category: Tutorial
Wireless Networks, IoT, and Mobile Devices Hacking (The Art of Hacking Series)
Wireless Networks, IoT, and Mobile Devices Hacking (The Art of Hacking Series)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5 Hours | 6.75 GB
Genre: eLearning | Language: English

Wireless Networks, IoT, and Mobile Devices Hacking provides step-by-step real-life, advanced scenarios of performing security assessments (penetration testing) of wireless networks and how to perform security posture assessments of Internet of Things (IoT) technologies and solutions. You also learn how to perform security posture assessments of mobile devices, such as smartphones, tablets, and wearables.
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Category: Tutorial
Artificial Intelligence with Python - Deep Neural Networks

Artificial Intelligence with Python - Deep Neural Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 19M | 338 MB
Genre: eLearning | Language: English

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