Deep Learning With Tensorflow 20 Keras and Python faq

learnersLearners: 3
instructor Instructor: / instructor-icon
duration Duration: 14.00 duration-icon

Learn the fundamentals of Deep Learning with Tensorflow 20, Keras and Python, and gain the skills to build and deploy powerful AI models with confidence, backed by our proven Problem Promise Proof Proposal methodology.

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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)
Deep Learning Tutorial 1 (Tensorflow Tutorial Keras & Python) Why deep learning is becoming so popular? What is a neuron? Deep Learning Tutorial 2 (Tensorflow20 KerAs & Python) Pytorch vs Tensorflow vs Keras Neural Network For Handwritten Digits Classification

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 students with the skills and knowledge to understand and apply deep learning techniques using Tensorflow 20 Keras and Python. Students will learn why deep learning is becoming so popular, what a neuron is, and how to use Pytorch, Tensorflow, and Keras to classify handwritten digits. Additionally, students will gain an understanding of the fundamentals of neural networks and how to use them to solve real-world problems.
lHow does this course contribute to professional growth?
This course contributes to professional growth by providing an in-depth understanding of deep learning and its applications. It covers topics such as why deep learning is becoming so popular, what a neuron is, and how to use Pytorch, Tensorflow, and Keras to classify handwritten digits. Through this course, professionals can gain a comprehensive understanding of deep learning and its various components, allowing them to apply their knowledge to their own projects.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It provides an introduction to deep learning, explains why it is becoming so popular, and covers topics such as neurons, Pytorch, Tensorflow, Keras, and neural networks for handwritten digits classification.

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 3 people have participated in this course. The duration of this course is 14.00 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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