Deep Learning with Python

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!

4.55

Intermediate

12.0 Hrs

33.6K+

Ratings

Level

Learning hours

Learners

Skills you’ll Learn

ANN
Tensorflow
Keras
Gradient
Backpropagation

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

Trusted by 1 Crore+ Learners globally

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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Is this course free?

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.

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