Latest Courses
ISTQB Artificial Intelligence Tester Sample ExamsCheck course
JAVA Programming Online Practice ExamCheck course
Programming for Kids and Beginners: Learn to Code in PythonCheck course
Practice Exams | Codeigniter 4 developer certificationCheck course
WordPress Practice Tests & Interview Questions (Basic/Adv)Check course
Git &Github Practice Tests & Interview Questions (Basic/Adv)Check course
Machine Learning and Deep Learning for Interviews & ResearchCheck course
Laravel | Build Pizza E-commerce WebsiteCheck course
101 - F5 CERTIFICATION EXAMCheck course
Master Python by Practicing 100 QuestionCheck course
ISTQB Artificial Intelligence Tester Sample ExamsCheck course
JAVA Programming Online Practice ExamCheck course
Programming for Kids and Beginners: Learn to Code in PythonCheck course
Practice Exams | Codeigniter 4 developer certificationCheck course
WordPress Practice Tests & Interview Questions (Basic/Adv)Check course
- 82% Practical Deep Learning: Real World Deep Learning Projects.

Practical Deep Learning: Real World Deep Learning Projects.

$14.99Track price

Add your review
Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare

Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to self–learn and improve over time without being explicitly programmed. In short, machine learning algorithms are able to detect and learn from patterns in data and make their own predictions.

In traditional programming, someone writes a series of instructions so that a computer can transform input data into a desired output. Instructions are mostly based on an IF–THEN structure: when certain conditions are met, the program executes a specific action.

Machine learning, on the other hand, is an automated process that enables machines to solve problems and take actions based on past observations.

Basically, the machine learning process includes these stages:

Feed a machine learning algorithm examples of input data and a series of expected tags for that input.

The input data is transformed into text vectors, an array of numbers that represent different data features.

Algorithms learn to associate feature vectors with tags based on manually tagged samples, and automatically makes predictions when processing unseen data.

While artificial intelligence and machine learning are often used interchangeably, they are two different concepts. AI is the broader concept machines making decisions, learning new skills, and solving problems in a similar way to humans whereas machine learning is a subset of AI that enables intelligent systems to autonomously learn new things from data.

Specification: Practical Deep Learning: Real World Deep Learning Projects.

Duration

3 hours

Year

2021

Level

Beginner

Certificate

Yes

Quizzes

No

User Reviews

0.0 out of 5
0
0
0
0
0
Write a review

There are no reviews yet.

Be the first to review “Practical Deep Learning: Real World Deep Learning Projects.”

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Practical Deep Learning: Real World Deep Learning Projects.
Practical Deep Learning: Real World Deep Learning Projects.

$14.99

Price tracking

Java Code Geeks
Logo
Register New Account
Compare items
  • Total (0)
Compare