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The free MOOC "Practical Deep Learning for Coders" is available as recorded videos, initially taught by Howard and Thomas at the University of San Francisco. In contrast to other online learning platforms such as Coursera or Udemy , a certificate is not granted to those successfully finishing the course online.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.
Data-driven testing (DDT), also known as table-driven testing or parameterized testing, is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not ...
[1] [2] When used to determine if a computer program should be subjected to further, more fine-grained testing, a smoke test may be called a pretest [5] or an intake test. [1] Alternatively, it is a set of tests run on each new build of a product to verify that the build is testable before the build is released into the hands of the test team ...
Comparison of numerical-analysis software; Comparison of statistical packages; Comparison of cognitive architectures; List of datasets for machine-learning research; List of numerical-analysis software
In deep learning, fine-tuning is an approach to transfer learning in which the parameters of a pre-trained neural network model are trained on new data. [1] Fine-tuning can be done on the entire neural network, or on only a subset of its layers, in which case the layers that are not being fine-tuned are "frozen" (i.e., not changed during backpropagation). [2]
Software testing can also be performed by non-dedicated software testers. In the 1980s, the term software tester started to be used to denote a separate profession. Notable software testing roles and titles include: [65] test manager, test lead, test analyst, test designer, tester, automation developer, and test administrator. [66]