TensorFlow 20 Beginner Tutorials faq

learnersLearners: 1
instructor Instructor: / instructor-icon
duration Duration: 7.00 duration-icon

Cracking the code with TensorFlow! Learn the ins and outs of coding with TensorFlow and master the art of developing AI applications. #Coding #TensorFlow #AIDevelopment #Tech

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Youtube

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 31st, 2023]

What does this course tell?
(Please note that the following overview content is from Alison)
TensorFlow Tutorial 1 - Installation and setup Deep Learning Environment (Anaconda and PyCharm) TensorFlow tutorial 2 - Tensor Basics Tensor Flow Tutorial 3 - Convolutional Neural Networks with Sequential and Functional API TensorFlow Tutorial 4 - Adding Regularization with L2 and Dropout T TensorFlow tutorial 5 - RNNs GRUs LSTMs and Bidirectionality

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?
Through this course, learners will acquire skills and knowledge in installing and setting up a deep learning environment (Anaconda and PyCharm), understanding the basics of TensorFlow, building convolutional neural networks with the Sequential and Functional API, adding regularization with L2 and Dropout, and constructing RNNs, GRUs, LSTMs, and Bidirectionality.
lHow does this course contribute to professional growth?
This course provides a comprehensive introduction to TensorFlow, a powerful open source library for deep learning. It covers the basics of TensorFlow, including installation and setup of an Anaconda and PyCharm environment, as well as tutorials on Tensor Basics, Convolutional Neural Networks, Regularization with L2 and Dropout, and Recurrent Neural Networks (GRUs, LSTMs, and Bidirectionality). By taking this course, professionals can gain a better understanding of the fundamentals of TensorFlow and how to use it to create powerful deep learning models. This course can help professionals to stay up-to-date with the latest advancements in deep learning and to develop their skills in this rapidly growing field.

Is this course suitable for preparing further education?
Yes, the TensorFlow 20 Beginner Tutorials course is suitable for preparing further education. It covers topics such as installation and setup of a deep learning environment, Tensor basics, convolutional neural networks, regularization with L2 and Dropout, and RNNs GRUs LSTMs and Bidirectionality.

Course Provider

Provider Youtube's Stats at AZClass

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faq FAQ for Tensorflow Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by Youtube, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 1 people have participated in this course. The duration of this course is 7.00 hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Youtube's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Youtube may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Tensorflow courses and certifications, our extensive collection at azclass.net will help you.

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