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According to an article published by the National Center for Biotechnology Information (NCBI), more than 80% of people who are on their computers for more than 4 hours a day complain of back pains. And guess why? Poor posture. Wrong positioning of the computer monitors that causes the user to strain their back and necks.

 

What is Transfer Learning?

Transfer learning is a technique of using a trained model to solve another related task. It's popular to use other network model weight to reduce your training time because you need a lot of data to train a network model. To reduce the training time, you use other network and its weight and modify the last layer to solve our problem. The advantage is you can use a small dataset to train the last layer.

 

What is Apache NiFi?

Apache NiFi is an open source software for automating and managing the flow of data between systems. It is a powerful and reliable system to process and distribute data. It provides a web-based User Interface for creating, monitoring, & controlling data flows. It has a highly configurable and modifiable data flow process that can modify data at runtime. It is easily extensible through the development of custom components.

 

What is NLP?

NLP or Natural Language Processing is one of the popular branches of Artificial Intelligence that helps computers understands, manipulate or respond to a human in their natural language. NLP is the engine behind Google Translate that helps us understand other languages.

 

What is PyTorch?

PyTorch is a Torch based machine learning library for Python. It's similar to numpy but with powerful GPU support. It was developed by Facebook's AI Research Group in 2016. PyTorch offers Dynamic Computational Graph such that you can modify the graph on the go with the help of autograd. Pytorch is also faster in some cases than other frameworks, but you will discuss this later in the other section.

 

What is Word Embedding?

Word Embedding is a type of word representation that allows words with similar meaning to be understood by machine learning algorithms. Technically speaking, it is a mapping of words into vectors of real numbers using the neural network, probabilistic model, or dimension reduction on word co-occurrence matrix. It is language modeling and feature learning technique. Word embedding is a way to perform mapping using a neural network. There are various word embedding models available such as word2vec (Google), Glove (Stanford) and fastest (Facebook).

 

What is a Distributed System?

A distributed application is an application which can run on multiple systems in a network. It runs simultaneously by coordinating themselves to complete a certain task. These tasks may take plenty of hours to complete by any non-distributed application.