Kominfo Scholarships - This year, the ministry provided training to 26 thousand participants.
“The number of applicants more than 46 thousand people (last year),” said the Minister of Communications and information technology Johnny Gerard Plate in the event of the Signing of the MoU and the cooperation Agreement (PKS) Fresh Graduate of the Academy (FGA) and Vocational School Graduate Academy (VSGA) Digital Talent Scholarship (DTS) 2020 in Jakarta, today (17/12).
This year, the Communications divide participants into four categories of the academy, namely FGA, VSGA, Coding Teacher Academy (CTA), and the Online Academy (OA).
Each participant is equipped with the technical expertise soft skills to support career development.
Program DTS 2019 also help participants find work through the coaching clinic and the platform Simonas Communications.
As many as 90 national companies to absorb the graduates of DTS through the platform.
Yes AI have good demand in the future. It is the next hottest buzzword after the internet in the field of technology. Artificial Intelligence is the next hottest buzzword after the internet in the field of technology. For those who are new to AI, it can be described as machines which are as intelligent as humans. Artificial intelligence is essential of 3 types, namely analytical, humanized AI, human-inspired. Analytic AI is consistent with cognitive intelligence.
A 3D model collection with name Artificial Intelligence by Engineer AI on sketchfab.
AI Neural Networks is still one of the most confusing and frustrating tools available for data mining and data analysis.
Though they exhibit outstanding modelling performance for data evaluation, production, and analysis; but due to their clueless structure configuration; it sometime becomes much complex and mystifying for beginners, trying their hands on building Neural Network In Artificial Intelligence.Neural Network based on AI technology is very far-fetched and powerful method used for getting better data and effective performance than any single neural networks.
It provides users with more precise classification models and makes it easier for the user to get reports on each class.
But these things are only possible when you know how to build an AI Neural Network properly.Steps To FollowIf you are wondering How To Make A Neural Network; then follow these easy steps to pull your model off:Create placeholders to receive data inputsImport relevant datasetFeed the training data to modelPre-process the data before training your modelNow train the model about the format of the dataset, image, and labelsConfigure the tiers or layers to compile the modelSpecifying weights and biases for the rowsAdding activation functionality to the modelSetting up cost functionalities and optimizersNow test your model and evaluate the accuracyMake predictions to appraise accuratenessAdjust weights and biases according to your needs
