Implementing Multi-layer Neural Networks with TFLearn
This course provides an introduction to deep learning and TFLearn, allowing learners to quickly build and deploy multi-layer neural networks. With the help of Tensorflow and TFLearn, learners will gain the skills to create and implement their own neural networks. ▼
ADVERTISEMENT
Course Feature
Cost:
Free Trial
Provider:
Pluralsight
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
What does this course tell?
(Please note that the following overview content is from the original platform)
Deep learning is one of the hottest topics for machine learning engineers. In this course, you'll quickly jump into building your first neural network using TFLearn on top of Tensorflow.
TFLearn offers machine learning engineers the ability to build Tensorflow neural networks with minimal use of coding. In this course, Implementing Multi-layer Neural Networks with TFLearn, you’ll learn foundational knowledge and gain the ability to build Tensorflow neural networks. First, you’ll explore how deep learning is used to accelerate artificial intelligence. Next, you’ll discover how to build convolutional neural networks. Finally, you’ll learn how to deploy both deep and generative neural networks. When you’re finished with this course, you’ll have the skills and knowledge of deep learning needed to build the next generation of artificial intelligence.
Topics:
Course Overview
Why Deep Learning?
What Is TFLearn?
Implementing Layers in TFLearn
Building Activations in TFLearn
Managing Data with TFLearn
Running Models with TFLearn
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge necessary to build Tensorflow neural networks using TFLearn. Learners will gain an understanding of deep learning and its applications in accelerating artificial intelligence, as well as how to build convolutional neural networks and deploy both deep and generative neural networks. Additionally, learners will learn how to manage data with TFLearn, run models with TFLearn, and build activations in TFLearn. Upon completion of the course, learners will have the skills and knowledge of deep learning needed to build the next generation of artificial intelligence.
How does this course contribute to professional growth?
This course provides a comprehensive introduction to the exciting world of deep learning and TFLearn. It covers foundational knowledge and provides the ability to build Tensorflow neural networks with minimal coding. It also covers topics such as how deep learning is used to accelerate artificial intelligence, how to build convolutional neural networks, and how to deploy both deep and generative neural networks. By the end of the course, learners will have the skills and knowledge of deep learning needed to build the next generation of artificial intelligence, which can contribute to professional growth.
Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It provides foundational knowledge and the ability to build Tensorflow neural networks, explore how deep learning is used to accelerate artificial intelligence, and learn how to deploy both deep and generative neural networks. Additionally, it covers topics such as managing data with TFLearn, running models with TFLearn, and building activations in TFLearn. All of these topics are essential for further education in the field of deep learning.
Course Provider
Provider Pluralsight's Stats at AZClass
Pluralsight ranked 16th on the Best Medium Workplaces List.
Pluralsight ranked 20th on the Forbes Cloud 100 list of the top 100 private cloud companies in the world.
Pluralsight Ranked on the Best Workplaces for Women List for the second consecutive year.
AZ Class hope that this free trial Pluralsight course can help your Tensorflow skills no matter in career or in further education. Even if you are only slightly interested, you can take Implementing Multi-layer Neural Networks with TFLearn course with confidence!
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of Implementing Multi-layer Neural Networks with TFLearn