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Courses>Network & Security>Artificial Neural Networks and Deep Learning in Practice
IT & SoftwareArtificial Neural Networks and Deep Learning in Practice
Price:Paid
Length:4 hours
Content type:video
level:all levels
Updated:19 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Network & Security>Artificial Neural Networks and Deep Learning in Practice
Artificial Neural Networks and Deep Learning in Practice
0.0 (0.0)
4 hours
0 students
What you will learn
1The fundamentals of Artificial Neural Networks (ANNs) and reviews state-of-the-art DL examples.
2The fundamental of Deep learning and the most popular algorithms.
3It has several coding examples.
4It has several quizzes for learning better.
Target audiences
1It is useful for undergraduate and graduate students, as well as practitioners in industry and academia.
2Anyone who would like to learn Neural networks and deep learning.
Requirements
1Probability,
2Calculus,
3Basic of Python, Tensor Flow, Keras, and Numpy.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Artificial Neural Networks and Deep Learning are the most recent and advanced topics in machine learning, with several applications in many fields. They show promising results in many areas, from computer vision to drug discovery and stock market prediction. Also, because of its capabilities and potential in solving different problems by deploying different data types, many researchers and people who are not in computer science or related fields are interested in learning and using Artificial Neural Networks and Deep learning architectures in their projects.


This course gives you some fundamentals of artificial neural networks and deep learning with some coding examples to understand the concepts better. The course is suitable for people who are new in the machine learning field and deep learning and would like to learn how to implement deep learning algorithms using Python, TensorFlow, and Keras.


The course provides some references and links for more reading. You have access to the Q/A session for asking your question. You also have access to communicate with the professor by the messaging system to ask your questions.

I would expect this course’s contents to be welcomed worldwide by undergraduate and graduate students and researchers in deep learning, including practitioners in academia and industry.

Similar courses
Opportunities
Make the most out of your online education
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All rights reserved
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Careertail
Courses>Network & Security>Artificial Neural Networks and Deep Learning in Practice
IT & SoftwareArtificial Neural Networks and Deep Learning in Practice
Price:Paid
Length:4 hours
Content type:video
level:all levels
Updated:19 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Network & Security>Artificial Neural Networks and Deep Learning in Practice
Artificial Neural Networks and Deep Learning in Practice
0.0 (0.0)
4 hours
0 students
What you will learn
1The fundamentals of Artificial Neural Networks (ANNs) and reviews state-of-the-art DL examples.
2The fundamental of Deep learning and the most popular algorithms.
3It has several coding examples.
4It has several quizzes for learning better.
Target audiences
1It is useful for undergraduate and graduate students, as well as practitioners in industry and academia.
2Anyone who would like to learn Neural networks and deep learning.
Requirements
1Probability,
2Calculus,
3Basic of Python, Tensor Flow, Keras, and Numpy.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Artificial Neural Networks and Deep Learning are the most recent and advanced topics in machine learning, with several applications in many fields. They show promising results in many areas, from computer vision to drug discovery and stock market prediction. Also, because of its capabilities and potential in solving different problems by deploying different data types, many researchers and people who are not in computer science or related fields are interested in learning and using Artificial Neural Networks and Deep learning architectures in their projects.


This course gives you some fundamentals of artificial neural networks and deep learning with some coding examples to understand the concepts better. The course is suitable for people who are new in the machine learning field and deep learning and would like to learn how to implement deep learning algorithms using Python, TensorFlow, and Keras.


The course provides some references and links for more reading. You have access to the Q/A session for asking your question. You also have access to communicate with the professor by the messaging system to ask your questions.

I would expect this course’s contents to be welcomed worldwide by undergraduate and graduate students and researchers in deep learning, including practitioners in academia and industry.

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot