Building Deep Neural Networks the Easy Way Perceptilabs

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=Ez4la9Lwh04

In this video, I cover building a deep learning neural network model on Covid-19 patient's Xray scans. I use a tensorflow based visual tool called perceptilabs • PerceptiLabs' visual simulation model offers a graphical user interface for creating, learning, and evaluating designs as well as allowing for further programming modifications. You can get quick repetitions and improved solutions that are easier to describe. • The framework of Perceptible allows users to create modified model configurations without requiring scientific knowledge as well as end-to-end simulation techniques that enable users to perceive and analyze the model in an entirely clear way improving awareness and allowing for error detection. • PerceptiLabs and machine learning • PerceptiLabs was founded with the goal of making machine learning modeling easier for businesses of all sizes. Machine learning could have a vital aspect in our development, and PerceptiLabs is now on a journey to enable businesses of all sizes to get started in this specific industry. • It analyses the ever-increasing amounts of data accessible today, assists businesses in identifying trends in the information, and provides estimates depending on those trends. Every business has a range of applications, such as employing object identification to predict which grocery stores are getting low on stock or utilizing picture identification to recognize a person in a congested field. • Users can easily create machine learning algorithms for any type of business with PerceptiLab's visual modeling solution. It enables users to click and drag items and join elements, then configures variables before the software writes their programming instantly. Users may quickly train and fine-tune their machine learning model, as well as observe its performance. • Why something like Perceptilabs makes sense? • Data analysts may use this technology to perform more effectively with machine learning techniques and get a good understanding of them. • *Helps you get the Real-time information* • Real-time metrics and detailed summaries of every modeling element's data are available. You can simply follow and analyze the behavior of the variables, troubleshoot in real-time, and identify where your system may be improved. • • *Helps you share them on GitHub* • PerceptiLabs allows you to maintain many simulations, evaluate them, and communicate the findings with your group quickly and efficiently. Export your data as a TensorFlow framework. • *Helps you overcome Compatibility problems* • When a corporation's researchers create models and put them into operation, they must all be using the same model. Otherwise, problems would arise. According to some experts, this problem may be avoided if everyone in a firm utilizes PerceptiLabs' technology. • ** Helps you export your model ** • Perceptilabs allows you to examine and explain how your program runs and executes, as well as why particular outcomes are being produced. You may also export your data as a training TensorFlow version after you're okay with it. • *Advantages of using Perceptilabs* • This tool offers a wide range of benefits. Some of them are; • Quick modeling - Includes a simple drag-and-drop user interface that helps make system design simple to create and analyze. • Visibility - It can be used to start understanding how your strategy performs so that it can be explained. • Versatility - Built as a graphical API on top of TensorFlow, this allows programmers to use TensorFlow's low-level Interface while also allowing them to use other Python libraries. • • Medium Link: / building-deep-neural-networks-the-easy-way... • FOLLOW ME ON • MEDIUM: / syal.anuj • INSTAGRAM: / • TWITTER: / anuj_syal • GITHUB: https://github.com/syalanuj • WEBSITE: https://anujsyal.com • • #machinelearning #deeplearning #artificialintelligence #ai #python #perceptilabs #keras #tensorflow #perceptilabs #covid19 #xray #modeltraining

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