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Master Deep Learning - A Step-by-Step Guide for 2021

      Author: Baturi   |   23 December 2021   |   comments: 0




Master Deep Learning - A Step-by-Step Guide for 2021
Last Update: 12/2021
Duration: 39m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 322 MB
Genre: eLearning | Language: English


Master Deep Learning | A Step-by-Step Guide for 2021
What you'll learn
What is Deep Learning?
Benefits of Deep Learning.
Careers in Deep Learning.
Future of Deep Learning.
Requirements
No prior knowledge of Deep Learning is required.
Description
Welcome to the comprehensive course on Master Deep Learning | A Step-by-Step Guide for 2021.
R Tutor is a team of software applications training professionals who explain complex information in the simplest form with relevant examples.
Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. Deep learning is an important element of data science, which includes statistics and predictive modeling.
One of the biggest advantages of using deep learning approach is its ability to execute feature engineering by itself. In this approach, an algorithm scans the data to identify features which correlate and then combine them to promote faster learning without being told to do so explicitly.
On completion of the course, you will know: What is Deep Learning?Benefits of Deep Learning.Careers in Deep Learning.Future of Deep Learning.
No prior knowledge of Deep Learning is required.Everyone can take this course and is best suited for: Students and professionals who want to start their career in Deep Learning. It is also suitable for professionals who want to excel in their Deep Learning domain.
Your wait is now over. Here is the course which helps you get started and pave your success from a beginner to an expert. It's easy!
Who this course is for
Students and professionals who want to start their career in Deep Learning. It is also suitable for professionals who want to excel in their Deep Learning domain.

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