Machine Learning With TensorFlow: The Practical Guide faq

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learnersLearners: 666
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Ready to dive into Machine Learning with TensorFlow? Join us in the practical journey of mastering machine learning techniques and building real-world applications. #MachineLearning #TensorFlow #AIEducation

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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:

2019-01-09

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)
This course covers all aspects of next-generation machine learning with Tensorflow, an open source library developed by Google. It includes fundamentals of Tensorflow, installation on Windows, Mac and Linux, basics of machine learning and its types, algorithms such as linear regression, logistic regression, NN regression, K-Means algorithm, neural networks, convolution neural networks, recurrent neural networks, and more. It also provides quizzes and a project on Deep Neural Networks using Tensorflow to ensure correct implementation. Start now and learn all about machine learning with Tensorflow.

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, learners will acquire knowledge and skills in Tensorflow fundamentals and installation, details about tensors, operators, variables and others, details about machine learning inference and its types, different algorithms such as linear regression, logistic regression, clustering, K-means algorithm, kernels and many more, various advanced learning networks and its implementation such as neural networks, convolution neural networks, recurrent neural networks, and a project on deep neural networks using Tensorflow. Additionally, learners will be able to test their understanding of the topics with quizzes provided at the end of each section.
lHow does this course contribute to professional growth?
This course on Machine Learning with TensorFlow: The Practical Guide provides professionals with the opportunity to gain a comprehensive understanding of the fundamentals of machine learning and its implementation using TensorFlow. It covers topics such as TensorFlow fundamentals and installation, details about tensors, operators, variables, and more, as well as machine learning inference and its types. Additionally, it provides an in-depth look into different algorithms such as linear regression, logistic regression, clustering, K-means algorithm, kernels, and more. Furthermore, it covers advanced learning networks such as neural networks, convolution neural networks, recurrent neural networks, and more. With quizzes at the end of each section and a project on deep neural networks using TensorFlow, this course provides a comprehensive and valuable learning experience for professionals looking to expand their knowledge and skills in machine learning.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education as it covers all the basics of Tensorflow, machine learning, and its types, as well as advanced machine learning topics such as neural networks, convolution neural networks, recurrent neural networks, and more. It also includes quizzes and a project on deep neural networks using Tensorflow to ensure correct implementation.

Course Syllabus

Introduction

Getting started with Tensorflow

Tensorflow Basics

Machine Learning Basics

Main Algorithms

Advance ML

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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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 666 people have participated in this course. The duration of this course is 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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