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A neural network is a series of algorithms that aims to identify underlying relationships in a set of data through a process that is similar to the way the human brain functions.
Keras is an open-source library written in Python for advancing and evaluating deep learning models. It enables you to define and train neural network models in a few lines of code. In this post, we will learn how to build a neural network using…Continue
All the data we need today is already available on the internet, which is great news for data scientists. The only barrier to using this data is the ability to access it. There are some platforms that even include APIs (such as Twitter) that support data collection from web pages, but it is not possible to crawl most web pages using this advantage..
PyTorch is known for being a clean framework, and hence it was a challenging task to achieve the production capability and flexibility needed for research. I think that the major hurdle for pushing production support to the core was going out of Python's realm and moving the PyTorch model to a faster, thread-safe language that has multithreading capability. But then, that violated the Python-first principle that PyTorch had up to that…Continue
This article by Chanchal Singh and Manish Kumar will delve into some of the common MapReduce patterns that will help you work with Hadoop. Chanchal Singh has more than five years of experience in product development and architect design, and Manish Kumar is a technical architect with more than ten years of experience in data management, working as a data architect and product architect.
The design patterns are the solution templates for solving specific problems. Developers…Continue