epub, azw3 |eng | | Author:Ahmed Fawzy Gad

Because there are four groups of neurons, that means there are four filters in this layer. As a result, the output of this layer will have its third dimension equal ...

epub |eng | 2019-04-26 | Author:Álvaro Morena Alberola, Gonzalo Molina Gallego & Unai Garay Maestre

Building Your First CNN Note For this chapter, we are going to still use Keras on top of TensorFlow as the backend, as mentioned in Chapter 2, Introduction to Computer ...

epub |eng | | Author:Nicolas Modrzyk

Running on Linux or a VM with AWS Instead So, what if you were actually not running on a Raspberry Pi but on a remote Linux server or a cloud ...

epub, pdf |eng | | Author:Oliver Kramer

(6.2) with set containing the indices of the k-nearest neighbors of pattern in the training data set . Normalization of patterns is usually applied before the machine learning process, e.g., ...

epub |eng | | Author:Zaigham Mahmood

7.3.2 Problem Description In the smart office environment, devices use different communication protocols. In our case study, users control air conditioner, use sensor to get measurements and use security camera ...

epub |eng | 2019-09-01 | Author:Smith, Jim [Smith, Jim]

Gradient Descent Algorithms The schematic representation of linear regression is mentioned below Interpreting the result Y=ax+bY=ax+b The value of a is the slope. The value of b is the y ...

epub |eng | | Author:Leslie F. Sikos

4.4.2.4 Presence of Proof-of-Concept The presence of PoC exploits in EDB increases the likelihood of vulnerability exploitation. It can be treated as a binary feature that indicates whether a PoC ...

epub |eng | 2018-03-11 | Author:Dr. Kai-Fu Lee [Cranberry Press]

My birthday present from employees of Microsoft Research China Ubiquitous White Boards Whenever we had visitors at Microsoft Research China, they said to us, “How come you have so many ...

epub, pdf |eng | | Author:V Kishore Ayyadevara

Notice that, the above involves, invoking an additional hyper-parameter - “kernel_regularizer” and then specifying whether it is an L1 / L2 regularization. Further we also specify the value that gives ...

epub |eng | | Author:Sridhar Alla & Suman Kalyan Adari

What Is a RNN? You have seen several types of neural networks throughout the book so you know that the high-level representation of neural networks looks like Figure 6-5. Figure ...

epub |eng | | Author:Rokia Missaoui, Sergei O. Kuznetsov & Sergei Obiedkov

18. Doreian, P., Batagelj, V., Ferligoj, A.: Generalized blockmodeling of two-mode network data. Soc. Netw. 26(1), 29–53 (2004). DOI http://​dx.​doi.​org/​10.​1016/​j.​socnet.​2004.​01.​002. /​/​www.​sciencedirect.​com/​science/​article/​pii/​S037887330400003​6 19. Duquenne, V.: Lattice analysis and the representation of ...

epub |eng | 2018-08-19 | Author:Programmer, Lazy [Programmer, Lazy]

As usual, when we represent this in code, they are just arrays of numbers. The arrays don’t know what those numbers represent, since the “meaning” of each column is purely ...

epub |eng | | Author:Taweh Beysolow II

In these lines, we are performing weight regularization, as discussed earlier in this chapter with the logistic regression L2 and L1 loss parameters. Those of you who wish to apply ...

epub |eng | | Author:Li Deng & Yang Liu

6.3.3 Deep Learning for Reordering Phrases For a source language sentence , phrasal translation rules match the sentence, segment the word sequence into phrase sequence, and map each source phrase ...

epub |eng | | Author:David Israel González Aguirre

This vertex redundancy occurs because the explicit and redundant storage of the coordinates (in the device memory either CPU or GPU) notably improves the rendering performance (shading, occlusion culling, ray ...