AI

Let us know what is TensorFlow Lite Task Library

Reading Time: 2 minutes TensorFlow Lite is a framework of software packages that enables ML training locally on the hardware. This on-device processing and computing allow developers to run their models on targeted hardware. The hardware includes development boards, hardware modules, and embedded and IoT devices. TensorFlow Lite Task Library contains a useful and powerful set of interfaces. That helps us handle most of the pre-processing and post-processing logic Continue Reading

Knoldus listed among Top AI Companies in Delhi

Knoldus is listed among the Top AI Companies in Delhi

Reading Time: 2 minutes Every business needs to transform sooner rather than later to remain competitive in the digital age. Our team was initially built to convince these companies of the impending shift they needed to make. Now our job is to accommodate all the people rushing, not to get left behind. Fortunately, the team we’ve built is capable of handling these new challenges. This has been proven repeatedly Continue Reading

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What Are Transformers In NLP And It’s Advantages

Reading Time: 4 minutes NLP’s Transformer is a new architecture that aims to solve tasks sequence-to-sequence while easily handling long-distance dependencies. Computing the input and output representations without using sequence-aligned RNNs or convolutions and it relies entirely on self-attention. Lets look in detail what are transformers. The Basic Architecture In general, the Transformer model is based on the encoder-decoder architecture. The encoder is the gray rectangle on the left Continue Reading

Understanding the Rasa NLU Pipeline

Reading Time: 4 minutes Rasa is an open source machine learning framework for automated text and voice-based conversations. Understand messages, hold conversations, and connect to messaging channels and APIs.Today in this blog we are covering the NLU pipeline of Rasa. The goal of this guide is to explain the role components play in the Rasa NLU pipeline, and also to explain how they interact with each other. The NLU Continue Reading

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Big Query DML Statements Technique: A small Guide

Reading Time: 3 minutes In this blog we are going to learn about some of the key Big Query DML statements. Data plays an integral part in any organisation. With the data-driven nature of modern organisations, almost all businesses and their technological decisions are based on the available data. Let’s assume that we have an application distributed across multiple servers in different regions of a cloud service provider, and Continue Reading

Music Genre Classification: Identification Of The Audio

Reading Time: 4 minutes In this blog, we will discuss and build a music genre classification model to predict the genre/label of the music/song. Music Genre Classification Today we will build a Tensorflow sequential model to automatically classify different musical genres from the given input audio files. Dataset To train our ml classifier model to predict the audio’s genre/label, we will use the GTZAN Dataset.You can download the dataset Continue Reading

A Simple Guide to Data Preprocessing in Machine Learning

Reading Time: 5 minutes Machine learning algorithms are completely data-dependent as they are the most important aspect of enabling model training. On the other hand, if you don’t understand this data before feeding it to the ML algorithm, the machine becomes useless. Simply put, you always need to provide the right data due to that preparing data in machine learning with the appropriate scale, format, and meaningful attributes for Continue Reading

A Complete Guide To Recurrent Neural Network

Reading Time: 5 minutes Recurrent neural networks are a type of deep learning-oriented algorithm that follows a sequential approach. Neural networks always assume that each input and output is independent of all other layers. This type of neural network is recurrent neural network because it performs mathematical calculations in a sequence. Neural networks imitate the function of the human brain in the fields of AI, machine learning, and deep Continue Reading

Complete Guide to Single Layer Perceptron with Implementation

Reading Time: 4 minutes To understand the single-layer perceptron, it is important to understand the artificial neural network (ANN). An artificial neural network is an information processing system whose mechanism is inspired by the function of biological neural circuits. Artificial neural networks have many interconnected computing units. The schematic diagram of the artificial neural network is as follows. This figure shows that the hidden entity is communicating with the Continue Reading

Make better decisions with Google Cloud Document AI

Reading Time: 3 minutes Nearly all business processes today begin, include or end with a document. Most companies are sitting on the document goldmine. Thinking of which some are PDFs, emails, customer feedback, patents, contracts, technical documents, sensitive documents, HR files and the list goes on. These documents are only going to grow with time. Making sense of each document is difficult since a lot of these documents are Continue Reading

Explore OpenCV & Why Do We Need To Know About It?

Reading Time: 4 minutes OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. OpenCV OpenCV is the huge open-source library for computer vision, Continue Reading

NLP using Tensorflow: A Small Guide

Reading Time: 3 minutes Natural Language Processing or NLP is now one of the most important machine learning techniques that one AI/ML practitioner should possess. It the current world we can see a vast use of NLP implementations. Such as text reading, number plate reading,email spam filtering, predictive text and so on. In this blog we are going to see some key things to know, in order to implement Continue Reading

Why Computer Vision Had Been So Popular Till Now?

Reading Time: 3 minutes What is computer vision? Computer vision(CV) is the field of computer science that focuses on creating digital systems that can process, analyze, and make sense of visual data (images or videos) in the same way that humans do. The concept of computer vision is based on teaching computers to process an image at a pixel level and understand it. Technically, machines attempt to retrieve visual Continue Reading