Crash Course in Deep Learning with Google TensorFlow Python faq

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4.5
learnersLearners: 1
instructor Instructor: UNP United Network of Professionals instructor-icon
duration Duration: 4.00 duration-icon

Dive into the world of Deep Learning with Google TensorFlow Python! Uncover the fundamentals of deep neural networks and their role in revolutionizing AI and data analysis. #DeepLearning #TensorFlow #Python #AIInstitute

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

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Udemy 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)
Learn how to use Google TensorFlow, a leading machine learning library from Google AI team, to create a range of machine learning models, from custom deep neural networks to transfer learning models built by big tech giants. This course will teach you how to install TensorFlow, use different TensorFlow environments, create computation graphs, Artificial Neural Networks (ANN), Convolutional Neural networks (CNN), regularization techniques such as Dropout and Max Pooling, Keras & TfLearn, and build a custom Image Classifier on any dataset. You will also learn about transfer learning and how to use Google inception. Extensive assignments and periodic updates on the subject are included.

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?
By taking this course, students will acquire skills and knowledge in TensorFlow installation, different TensorFlow environments, computation graphs, Artificial Neural Networks (ANN), Convolutional Neural networks (CNN), Regularization in Neural Networks - Dropout and Max Pooling, Keras & TfLearn, building a custom Image Classifier on ANY Dataset, Transfer learning and how to use Google inception. Additionally, students will gain extensive assignments to test their understanding and periodic updates on the subject.
lHow does this course contribute to professional growth?
This course provides professionals with the opportunity to gain a comprehensive understanding of Google TensorFlow, a leading machine learning library from Google AI team. Professionals will learn how to use and reuse TensorFlow effectively and apply it to industry-relevant problems. They will also gain knowledge on different TensorFlow environments, computation graphs, artificial neural networks (ANN), convolutional neural networks (CNN), regularization in neural networks, Keras & TfLearn, building a custom image classifier on any dataset, and transfer learning. Through extensive assignments and periodic updates on the subject, professionals will be able to test their understanding and grow their skills in deep learning.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education as it provides a comprehensive overview of Google TensorFlow, a leading machine learning library from Google AI team. It covers topics such as TensorFlow installation, different TensorFlow environments, computation graphs, artificial neural networks (ANN), convolutional neural networks (CNN), regularization in neural networks, Keras & TfLearn, building a custom image classifier on any dataset, transfer learning, and how to use Google inception.

Course Provider

Provider Udemy'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 paid 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: 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 4.00 hour(s). Please arrange it according to your own time.

Q4: 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 Udemy'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."
Udemy 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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