Deep Learning with Python Free Course

Deep Learning with Python

star 4.55  Intermediate level 12.0 learning hrs 35.2K+ 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!

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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 4.55

12.0 Hours

Intermediate

35.2K+ 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

4.55
72%
20%
5%
1%
2%
Reviewer Profile

5.0

“Engaging Curriculum and Practical Tools”
I really enjoyed how the course combined an in-depth curriculum with practical tools that I can use immediately. The instructor explained complex concepts in a simple and easy-to-follow manner, making the learning experience enjoyable and effective. The quizzes and assignments also helped solidify my understanding. Highly recommend!
Reviewer Profile
Rubina Shabbir

4.0

“Key Insights and Skills Gained from My Learning Journey”
I enjoyed learning how neural networks work and how to use them. The hands-on exercises made difficult ideas easier to understand, and applying what I learned to real problems was really helpful.
Reviewer Profile

5.0

India
“Intro to Deep Learning with Python on Google Colab”
Understanding Neural Networks: Your questions delve into fundamental aspects of neural networks, such as bias, weights, activation functions, and the impact of hidden layers. This helps in understanding the core principles behind how these models work and are trained. Focus on TensorFlow: You’re looking into specific aspects of TensorFlow, including initialization of parameters. This reflects a practical approach to implementing and working with neural networks in a real-world framework. Critical Thinking: Your questions often challenge common assumptions or clarify potential misconceptions, like whether adding more layers always improves model performance.
Reviewer Profile

4.0

India
“Deep Learning with Python Certificate”
I liked the instruction phase and the way of teaching concepts. It was easy to understand.
Reviewer Profile
Nadia agha

5.0

“Exploring Data Science and Machine Learning”
I enjoyed diving into data science and machine learning, particularly the hands-on experience with real-world datasets and learning how to apply various algorithms to solve complex problems.
Reviewer Profile

5.0

“Very Impressive and Informative”
It was a very beautiful journey. I hope everyone will find this course very beneficial.
Reviewer Profile

5.0

India
“Great Experience Gaining Knowledge About Deep Learning”
I learned a lot about various other models and learned about multi-level perceptrons.
Reviewer Profile

5.0

“Basic Concepts of Neural Networks and Deep Learning”
What I like most about this course is the trainer and his way of teaching and describing the concepts. Also, I like very much the content of this course.
Reviewer Profile

5.0

United States
“Deep Learning with Python Free Course”
I really loved the way the person explained and that we have access to Python files and videos, which is really great.
Reviewer Profile

5.0

India
“Deep Learning, Algorithm, Codes, Neural Network”
It's too good. I learned many things in this video. We learn various things in this video. Thank you for providing these videos.

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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