Deep Learning with Python Free Course

Deep Learning with Python

star 4.56  Intermediate level 12.0 learning hrs 35.3K+ Learners

Learn Deep Learning With Python free course and get a completion certificate. Plus, access over 1,000 additional free courses with certificates—just sign up for free!

Key Highlights

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About this course

Deep Learning is an essential and influential part of Machine Learning. Its ability to process a large number of features when encountered with unstructured data makes it a powerful concept that one must be aware of. Deep Learning focuses on neural networks and is advantageous in many ways. Check out Introduction to Deep Learning course with a certificate of completion. 

This free course starts with explaining what the need for Deep Learning is. You will then get a brief introduction to the TensorFlow library of Python that is apt for the Deep Learning implementation with Python. You will understand more about TensorFlow and execute the “hello world” program. You will learn about modeling an equation in TensorFlow. You will also learn about calculating the loss and gradient. A hands-on session is always a better approach for a learner to understand the concept better. Thus, you will look into the hands-on session on regression using TensorFlow. You will then briefly know about the Gradient concept and get introduced to the Keras framework. Lately, you will go through the classifications using MNIST. This free course is smartly designed for intermediate-level learners interested in Deep Learning. Enroll in this Deep Learning with Python free course get certificate on completing the course.

You can now gain more knowledge on Artificial Intelligence and Machine Learning by going through Great Learning’s Best Artificial Intelligence and Machine Learning Courses. Enroll in the best Degree and PG programs that suit your job interest and grab hold of the certifications on completing the enrolled courses successfully.

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Course outline

Need for deep learning

Introduction to Tensorflow

Tensorflow :Eager execution and hello world

Tensorflow:Modelling an equation in Tensorflow

calculating loss and gradient

Hands On: Regression using tensorflow(Eager Execution and Eager Normalization)

Gradient

Keras framework

Classification using MNIST

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

Deep Learning with Python

rating icon 4.56

12.0 Hours

Intermediate

35.3K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.56
72%
20%
5%
1%
2%
Reviewer Profile

5.0

India
“Engaging and Informative Deep Learning Course for Starters”
This free deep learning course was incredibly accessible and covered the fundamentals well. The instructor explained complex topics clearly, and I appreciated the hands-on exercises that reinforced the learning. It’s a great resource for beginners, though a bit more focus on real-world applications would have been helpful. Overall, highly recommended.
Reviewer Profile

4.0

India
“Master Deep Learning with Python: A Comprehensive Guide”
It's an excellent course for learning deep learning using Python, with practical examples and in-depth explanations.
Reviewer Profile

5.0

India
“Valuable Insights into Neural Networks and Practical Model Implementation”
The deep learning course provides a comprehensive understanding of neural networks, their architecture, and practical applications, with hands-on experience in implementing models.
Reviewer Profile

4.0

India
“Learn Deep Learning with Python”
Really well done. Thank you so much for an amazing course! I learned so much, and you made even the more complex topics interesting and easier to follow through real-world stories and case studies. The course and all the materials are both comprehensive and informative.
Reviewer Profile

5.0

India
“Insightful and Engaging Learning Journey in Deep Learning with Python”
I loved the clear explanations of complex concepts like neural networks and backpropagation. The hands-on Python examples and practical applications made the learning process engaging and effective. The structured approach to building models step-by-step was especially helpful.
Reviewer Profile

5.0

India
“It Was a Great Experience Learning”
The online learning experience has been interesting and helpful. The course materials are well-organized, making it easy to follow. The quizzes and discussion boards add to the learning experience and help build a sense of community among students. It would be great to have more real-life examples or case studies to apply what we’ve learned. Overall, it’s a great course, and I’m excited to see how it improves!
Reviewer Profile

5.0

Ukraine
“Neural Network Inputs & Components”
The test focused on key neural network components: inputs, weights, bias, and activation functions. It clarified misconceptions about perceptrons and backpropagation.
Reviewer Profile

4.0

India
“Engaging Learning Experience”
I particularly enjoyed the interactive nature of the sessions, which made complex topics more accessible. The opportunity to collaborate with peers added to the learning experience, fostering a sense of community. Additionally, the practical applications discussed were fascinating and provided valuable insights into real-world scenarios. Overall, it was a highly enriching experience that I would love to revisit.
Reviewer Profile

5.0

India
“TensorFlow: Modeling an Equation in TensorFlow, Calculating Loss and Gradient”
It is easy to understand the topic, and it provides practical knowledge.
Reviewer Profile

5.0

India
“The Course is Really Good for Beginners to Understand Fast and Effectively.”
The course is really good for beginners to understand fast and effectively.

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.

Is Python good for Deep Learning?

Python provides a wide range of library support that all programmers globally appreciate. Developers believe that Python is an excellent choice for AI, Machine Learning, and Deep Learning implementations. It also makes the implementations of these complex algorithms more uncomplicated, making it a very suitable programming language.

What is Deep Learning with Python?

Deep Learning involves processing multiple layers from unstructured data, and the Python programming language helps you achieve this concept in a practical scenario. Python makes it an uncomplicated implementation and more efficient with its vast library support.

Why is Python used for Deep Learning?

Python is a high-level, general-purpose programming language globally appreciated and accepted by all developers. Its simpler syntax makes it easier to implement complex Deep Learning algorithms, and Python involves many valuable libraries and frameworks that support Deep Learning and provide efficient results. Hence, Python is used for Deep Learning.

Is Python better than MATLAB for Deep Learning?

Developers prefer Python to build applications using Deep Learning as it provides extensive library support for Deep Learning implementations. Thus, developers prefer it more as they want to produce efficient results. Matlab also plays a vital role in better representing these algorithms and making them easier to understand. It is highly preferred by engineers and researchers who want to understand these algorithms’ output better.

Will I get a certificate after completing this Deep Learning With Python free course?

Yes, you will get a certificate of completion for Deep Learning With Python after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Deep Learning With Python course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Deep Learning With Python can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Deep Learning With Python course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

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

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Deep Learning With Python course?

Great Learning Academy provides this Deep Learning With Python course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

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