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All Blog Posts Tagged 'tuning' (3)

Importance of Hyper-parameters in Model development

Machine Learning (ML) development is an iterative process in which the accuracy of predictions made by the models is continuously improved by repeating the training and evaluation phases. In each of these iterations, certain parameters are tweaked continuously by developers. Any parameter manually selected based on learning from previous experiments qualify to be called a model hyper-parameter. These parameters represent intuitive decisions whose value cannot be estimated from data or from…

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Added by Janardhanan PS on January 16, 2020 at 12:00am — 1 Comment

On-going Developments and Outlook for Deep Learning

Overview

There are huge numbers of variants of deep architectures as it’s a fast developing field and so it helps to mention other leading algorithms. The list is intended to be comprehensive but not exhaustive since so many algorithms are being developed [1] [2][1],[2].

  1. Deep High-order Neural Network with Structured Output (HNNSO).
  2. Deep convex network.
  3. Spectral networks
  4. noBackTrack algorithm to solve the…
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Added by Syed Danish Ali on July 26, 2016 at 5:00am — 2 Comments

Manage performance of enterprise applications

Managing performance of enterprise applications and achieving high levels of Performance with minimum resources is topic of discussion in today’s large enterprises. Resolving performance issues is essential for database administrators (DBAs) when it happens however it is best to react to the problems proactively. Proactive management requires very high level of attention and to help make sense of the overwhelming data provided by the database engine.

In database management being…

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Added by Muhammad Saeed on April 21, 2014 at 3:43am — No Comments

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