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TensorFlow Python

star 4.47  Intermediate level 3.75 learning hrs 13.4K+ Learners

Comprehend the essential fundamentals of Machine Learning using TensorFlow Python through our free course. Learn neural networks, image classification, and tensor concepts online.

Instructor:

Mr. Anirudh Rao

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About this course

TensorFlow is an open-source library used for creating machine learning models. There are various uses of TensorFlow that particularly focuses on training and deploying deep neural networks. You will get familiar with deep learning, TensorFlow library, tensors, image classification, and neural network concepts of Machine Learning and Artificial Intelligence. Further, you will be learning how you can create deep learning models through the hands-on demonstration given by the tutor. Enroll in this free course and complete all the modules, followed by a quiz to gain a course completion certificate. 

Are you up for stepping into an advanced career in Machine Learning? Great Learning provides professional Artificial Intelligence and Machine Learning courses that cover all the important concepts to help you build a career in this domain. Enroll in the paid programs of Great Learning to advance your skills and achieve a certificate. 

 

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Course outline

Introduction for TensorFlow

With the high demand for Deep Learning, it is essential to learn about TensorFlow to create Deep Learning models. Here, we will learn what TensorFlow is, the essential library, and the in-demand skill. 

 

What are Tensors?

This section will discuss the prerequisites to understand tensors, including Linear Algebra, Vector Calculus, and Python Calculus, and how they work together to provide effective results.

 

 

 

How to install TensorFlow?

In this section, you will learn about the latest version and compatibility and how you can install TensorFlow based on what GUI/CLI you use for Python.

 

Getting Started with TensorFlow

In this section, you will understand what a Tensor looks like, how it works, how we can programmatically write the Tensor, and how to get it to perform operations for us eventually.

 

 

Demo #1: MNIST Character Recognition with TensorFlow

This will be a hands-on session discussing 2 use cases: Digit classification using the MNIST dataset & image classification using CNN. This chapter will talk about the former demo.

 

Demo #2: Binary classifier using Convolutional Neural Network

In this section, you will get clarity on what CCN is and then go on to solve the demo use case.

 

Get access to the complete curriculum once you enroll in the course

TensorFlow Python

rating icon 4.47

3.75 Hours

Intermediate

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13.4K+ learners enrolled so far

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Master in-demand skills & tools

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Learner reviews of the Free Courses

4.47
69%
21%
7%
1%
2%
Reviewer Profile

5.0

Country Flag Canada
“Excellent and practical course”
In a short amount of time, I learned a great deal about TensorFlow and gained a solid understanding of its core concepts. The demos were clear, practical, and very engaging, which made the learning experience efficient and enjoyable.
Reviewer Profile

4.0

Country Flag India
“Tensorflow with Python Programming”
I really enjoyed how the course explained the core concepts of TensorFlow and its integration with Python. The hands-on exercises helped me better understand how to apply machine learning models using TensorFlow. The course is structured well and covers key topics like tensors, placeholders, and neural networks, making it a great resource for anyone looking to dive into AI and machine learning.
Reviewer Profile

4.0

Country Flag India
“Comprehensive and Engaging TensorFlow Course for Machine Learning Enthusiasts”
This TensorFlow course provides a thorough understanding of deep learning and neural networks. The content is well-structured, with clear explanations and hands-on exercises that help reinforce key concepts. I particularly appreciated the practical examples and real-world applications, making it easier to grasp complex topics. Highly recommended for anyone looking to advance their skills in machine learning and AI.
Reviewer Profile

5.0

“Engaging and Informative Learning Experience”
The course was well-designed, with an excellent curriculum that broke down complex concepts into simple and understandable lessons. The step-by-step guidance made it very easy to follow, even for beginners. I particularly appreciated the real-world examples and interactive assignments, which helped solidify my understanding. Highly recommended for anyone looking to learn this subject!
Reviewer Profile

4.0

Country Flag India
“Great course must go with it information is good”
The course was highly informative and engaging. The material was well-structured, making complex topics easier to understand. The practical examples and hands-on exercises enhanced my learning experience. The instructor was knowledgeable and supportive, answering questions promptly. Overall, a valuable learning experience that I would highly recommend!
Reviewer Profile

5.0

“Great Introduction to TensorFlow for Beginners!”
I thoroughly enjoyed the online course about TensorFlow. The lessons were well-structured, making complex concepts easy to understand. I particularly liked the hands-on projects, which allowed me to apply what I learned in real-world scenarios. The instructor was knowledgeable and responsive to questions, enhancing the overall learning experience. This course has greatly improved my confidence in using TensorFlow for machine learning projects!
Reviewer Profile

5.0

Country Flag United States
“TensorFlow Python Certification”
The video lengths are suitable and manageable, making it easy to follow along without feeling overwhelmed. Moreover, I genuinely enjoyed the instructor's explanations, as they were clear and insightful. He showed great examples that illustrated the concepts perfectly and provided the practical insights I was hoping to see. This approach made the learning experience both engaging and informative.
Reviewer Profile

5.0

Country Flag India
“Tensor Flow Python, Easy to learn and pursue”
I recently completed the TensorFlow Python course on Great Learning, and I couldn't be more impressed. The course structure was well-organized, starting with foundational concepts and progressively delving into advanced topics. The instructors were knowledgeable and engaging, making complex ideas easier to understand. Overall, this course has significantly enhanced my skills in machine learning, and I highly recommend it to anyone looking to deepen their understanding of TensorFlow and Python!
Reviewer Profile

4.0

Country Flag India
“ Comprehensive TensorFlow Course Experience”
The TensorFlow course provided a comprehensive introduction to deep learning with a focus on practical implementation. Throughout the course, I gained hands-on experience in building, training, and evaluating neural networks using TensorFlow 2.x. The curriculum covered essential concepts such as tensor operations, model architecture, and advanced techniques like transfer learning and model optimization. I appreciated the interactive assignments and projects that allowed me to apply theoretical knowledge to real-world problems. The course also included valuable insights into best practices and debugging techniques, making it a well-rounded learning experience for developing robust machine learning models.
Reviewer Profile

5.0

Country Flag India
“Good Course on Introduction of TensorFlow in Python”
"Great Learning offers well-structured courses with expert instructors, practical insights, and excellent support for career advancement. Highly recommended!"
Reviewer Profile

4.0

“Learned about the usage of TensorFlow for Deep Learning”
I gained a solid understanding of tensors, model evaluation, and handling overfitting. This experience has motivated me to explore advanced topics like transfer learning.
Reviewer Profile

4.0

Country Flag India
“Really helpful course, easy to follow”
Great Platform. Wonderful Quizzes & Assignments. Really helpful course, easy to follow.
Reviewer Profile

4.0

Country Flag United States
“The content is very easy to understand ”
the instructor made the course intresting. he taught me tensorflow easily, how to instal and things of that nature
Reviewer Profile

5.0

Country Flag India
“Topic Depth of the course and the explanation”
Had a depth explaination of the topic and each topic is clearly explained
Reviewer Profile

5.0

Country Flag India
“The explanation was really good and easy to unery derstand.Each and every topic is covered from the start and explained with examples.”
Great Learning offers high-quality educational programs to help students develop in-demand skills and upskill their careers. These programs have a comprehensive curriculum and follow a hands-on learning approach.
Reviewer Profile
Muhammad Talha Shafiq

5.0

“Its good for beginner. Make more slides to teach in simple and practical way. YOur slides are less and person speaks a lot and further more make detail notes. with proper headings”
Its good for beginner. Make more slides to teach in simple and practical way. YOur slides are less and person speaks a lot and further more make detail notes. with proper headings
Reviewer Profile

5.0

Country Flag India
“The easy to follow classes are instrumental in developing my skills and would recommend it.”
the instructor describes the topics perfectly and skill and tools
Reviewer Profile

5.0

Country Flag India
“Placeholders in TensorFlow are used to feed data into the model during runtime, not at the start. They are not initialized with data when they are created.”
Placeholders in TensorFlow are used to feed data into the model during runtime, not at the start. They are not initialized with data when they are created. Instead, they act as a promise to provide a value later, typically during the execution of a session.
Reviewer Profile

5.0

Country Flag India
“This course is excellent and informative ”
This course is excellent and informative and easy to understand
Reviewer Profile

5.0

Country Flag India
“Tensorflow. Best course i got and i think i can pursue my dream of becoming data scientist if i follow greatlearning”
Best course i got and i think i can pursue my dream of becoming data scientist if i follow greatlearning

What our learners enjoyed the most

Our course instructor

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Mr. Anirudh Rao

Artificial Intelligence Expert

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778.6K+ Learners
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79 Courses
Anirudh has been working in the field of Data Science and has expertise over Python, Machine Learning and other concepts in the field of data analysis. He is also proficient in the concept of Deep Learning and its usage in a production environment. Expertise extends towards working on various projects in the domain of Artificial Intelligence and Neural Networks as well.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What jobs demand that you learn TensorFlow Python?

TensorFlow is one of the most important skills in the Machine Learning domain, which is why most Machine Learning jobs require TensorFlow as a primary skill. Several jobs demand TensorFlow skills that include:

  • Machine Learning Engineer
  • ML Algorithms Engineer
  • Computer Vision Engineer
  • Python Engineer – TensorFlow
  • TensorFlow Software Engineer

What are the steps to enroll in this course?

The following steps are required to enroll in this course:

1. Go to the Great Learning Academy homepage.

2. Search for ‘TensorFlow Python Course’.

3. Click on the ‘Enroll for free’ button. 

4. Register yourself with Great Learning Academy by providing the necessary information.

5. After successful registration, you need to go to your profile dashboard to start the course. 

 

Who is eligible to take this TensorFlow Python course?

There are no specific criteria for taking this course. Great Learning Academy design these courses in a way that any learner can easily adapt the knowledge no matter at which level they are. So, whether you are a beginner or a mid-level ML developer, the course will help both of you to enhance your knowledge. Hence, the course doesn’t require any prior knowledge of the concepts discussed in this course. 

Why choose Great Learning Academy for this TensorFlow Python course?

Great Learning Academy is one of the largest platforms that provides education in various domains. These courses are beneficial for learners seeking to build their careers. This free TensorFlow Python course is very helpful for those looking forward to pursuing a career in the Machine Learning domain. The course covers all the fundamental concepts of TensorFlow to start building ML workflows. 

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, Great Learning Academy offers multiple courses in various domains that you can sign up for. And there’s no limit to signing up for these courses. So, you can also sign up for other courses without any problem. 

Is there a limit on how many times I can take this TensorFlow Python course?

No, it doesn’t limit you to learning from this course. You can take this course as many times as you want. Hence, you can revisit the course whenever you feel like revising your skills.

How much does this TensorFlow Python course cost?

This TensorFlow Python course doesn’t cost anything to any learner. The course is 100% free, and learners can enroll in this course without any hustle. 

 

What knowledge and skills will I gain upon completing this TensorFlow Python course?

The free course will help you understand TensorFlow basics by familiarizing you with the essential concepts such as Deep Learning, Neural Networks, Python, and Machine Learning models. You will also gain some useful skills through this course, including the TensorFlow library, Convolutional Neural Networks, Tensors, and Deep Learning models. 

 

Will I get a certificate after completing this TensorFlow Python course?

Yes, once you finish all the course modules, you need to take the quiz that will help you gain a course completion certificate. The quiz will be active only after you finish the chapters of the course. So, you need to complete the modules and then go for the quiz to get a certificate. 

 

What are the prerequisites required to learn this TensorFlow Python course?

There are no particular prerequisites required to start this free course. Any learners can take this course and start learning from it.  

Why is TensorFlow so popular?

TensorFlow has made the implementation of Machine Learning easier as it provides pre-trained models, data, and high-end APIs, which speeds up the process of developing workflows. TensorFlow has given huge contributions to Machine Learning, and that’s the main reason for its popularity and high demand. 

What is TensorFlow used for?

TensorFlow is used to create and train Machine Learning models. These models automate most of the manual processes and enable efficient workflows. You can use Python or JavaScript to develop workflows using TensorFlow.

Is it worth learning TensorFlow?

Yes, learning TensorFlow will help you to understand the workflows of training ML models using Python. Machine Learning is the fastest growing technology, and you can understand the basics of ML with TensorFlow Python in this course. 

What are my next learning options after this TensorFlow Python course?

Once you finish this free TensorFlow course, you can opt for a professional Machine Learning course to build a career in this domain. The paid program will help you clear all the important concepts that revolve around TensorFlow and Python. 

Will I have lifetime access to the free course?

Yes, the course comes with lifetime access. So whenever you feel like brushing up on your skills, you can revisit the course and start revising your knowledge.

Will I have lifetime access to the free course?

Yes, the course comes with lifetime access. So whenever you feel like brushing up on your skills, you can revisit the course and start revising your knowledge.

How long does it take to complete this free TensorFlow Python course?

The course contains 2 hours of video content that you can finish at your own pace. 

 

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