James McCaffrey leads you through the fundamental concepts of neural networks, including their architecture, input-output, tanh and soft max activation, back-propagation, error and accuracy, normalization and encoding, and model interpretation.
Although most concepts are relatively simple, there are many of them, and they interact with each other in unobvious ways, which is a major challenge of neural networks.
The author find this approach gives a well-rounded overview.
It focuses on the core of the language, trying to simplify the more complex topics.
It has evolved from a niche scripting tool crafted in a few days into a modern, multi-purpose language sitting on top of a rich ecosystem and a vibrant developer community.
More than 100 Azure services offer everything you need to build and run your applications The book heavily leans on examples to present features of regular expressions one by one.
It is recommended that you manually type each example and experiment with them.
Should also know functional programming concepts like map and filter.
All the content is extracted from Stack Overflow Documentation, which is written by many hardworking individuals at Stack Overflow.
Let the refactoring begin!” – Marcus Vorwaller ” I think it’s one of the best tech books I’ve read since Sedgewick’s Algorithms in C.” – Andrey Sidorov”
The complexity only grows as the project becomes larger.
While it’s impossible to plan for every change that could possibly happen over the life of a project, you can help future-proof your front-end architecture by designing software that’s pliable and easily extended.
Well-designed, extensible architecture can help reduce development and maintenance costs, as bug fixes, enhancements, and new technologies can be incorporated more easily.
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