Free TensorFlow and Keras Course
Introduction to Tensorflow and Keras
4.54
Beginner level
5.25 learning hrs
Learn tensorflow & keras in this free online training. Tensorflow & keras course is taught hands-on by experts. Learn how to get started with tensorflow and convolution process in details. Best for beginners. Enroll for free now!
Instructor:
Mr. Anirudh Rao
About this course
This Introduction to TensorFlow and Keras course will enrich your knowledge about all the essential Python libraries and guide you to install them step by step. It will start by explaining what TensorFlow is and its various functionalities. It will then take you to get a brief understanding of the prerequisites to understand tensors before moving on to the installation chapter. Once your concept of TensorFlow is clear, the course will have you navigate through Neural Networks and discuss how you can write Tensor code to perform distinct operations. Before wrapping up the course, you will also learn about the newer version (TensorFlow 2.x) and learn to perform Linear Regression using TensorFlow. In the last phase, the course will take you through the hands-on session, which will discuss two use cases and finally throw light on what Keras is, its features, character recognition, and image classification using CNN.
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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.
Brief About TensorFlow-2
This section will continue discussing the various functionalities of TensorFlow, including Google Colab, reasons to learn TensorFlow, and Languages & OS supported by TensorFlow.
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.
Introduction to neural networks
You will understand what Neural Networks are and how they are a pathway to Artificial Intelligence using Deep Learning. This section will also give a brief idea of weights & mathematics in Neural Networks.
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.
Basic Demo on TensorFlow-2
You will learn about the new version- of TensorFlow 2.x, its features, and what's new in this version.
Linear Regression Using TensorFlow-2
This section will throw light on how to perform Linear Regression using TensorFlow using different linear equations with step-by-step explanations.
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.
Getting Started with Keras-2
Learn about the various features of Keras, Keras Vs. tf.keras, and then we will look at the code snippets to have a better understanding.
Get access to the complete curriculum once you enroll in the course
4.54
India
India
India
India
India
India
India
India
What our learners enjoyed the most
Skill & tools
63% of learners found all the desired skills & tools
Our course instructor
Mr. Anirudh Rao
Artificial Intelligence Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What are the prerequisites required to learn this Introduction to TensorFlow & Keras Course?
Learning TensorFlow and Keras requires no prerequisites. But it's preferred that learners have a fundamental understanding of statistics, algebra, and Machine Learning.
How long does completing this free Introduction to TensorFlow & Keras Course take?
This course contains approximately 3 and a half hours of video content you can watch and learn in your comfort.
Will I have lifetime access to the free course?
Yes, you will get lifetime access to this free Introduction to TensorFlow and Keras course that you can view anytime.
What are my next learning options after this Introduction to TensorFlow and Keras course?
Once you have completed this Introduction to TensorFlow and Keras Course, you can go ahead and learn about Neural Networks, Keras, Deep Learning Models, and work on various Machine Learning projects. You can also enroll in the AI and Machine Learning course to pursue a promising career.
Is it worth learning TensorFlow and Keras?
The majority of AI and ML professionals and data scientists worldwide use Tensorflow, one of the top frameworks in the world. It makes your Machine Learning and Deep Learning coding simple, it is easy to use, comes with extensive documentation, and accepts Keras as a high-level API, making it a two-framework solution. So, yes, it is worth learning.
What are TensorFlow and Keras used for?
Google created the open-source library TensorFlow specifically for Deep Learning apps. TensorFlow was created without Deep Learning in mind to handle huge mathematical calculations. Whereas deep models can be produced using Keras and then deployed on mobile devices.
Why are TensorFlow and Keras so popular?
TensorFlow simplifies Machine Learning to another level, and it makes it simple for anyone to create ML models with pre-trained models, data, and high-level APIs. Researchers and students extensively use TensorFlow to develop models and conduct research.
Best practices for lowering the cognitive load are employed by Keras, which provides consistent and easy APIs, reduces the number of user steps necessary for typical use cases, and offers clear and concrete feedback in the event of user error. Because of this, Keras is simple to use and learn & eventually gained popularity.
What jobs demand that you learn TensorFlow and Keras?
There are many job profiles you can land after you earn competency in TensorFlow and Keras, some of which are:
- Machine Learning Engineer
- Machine Learning Scientist
- Data Scientist
- Python Developer
- Software Developer
What knowledge and skills will I gain upon completing this Introduction to TensorFlow & Keras Course?
You will learn what TensorFlow, Keras, and CNN are, their features, how they work, how you can install them, how they are used to create Deep Learning models, and also gain an extensive understanding of Neural Networks.
How much does this Introduction to TensorFlow and Keras Course cost?
Great Learning Academy is offering the course for free in its entirety. This course is a great place to start for anyone looking to learn more about TensorFlow, Keras, and CNN to launch a career in AI and ML.
Is there a limit on how many times I can take this Introduction to TensorFlow & Keras Course?
There isn't any such limit on how many times you can view the course. You are welcome to return and review the course again whenever you need to.
Can I sign up for multiple courses from Great Learning Academy at the same time?
You can enroll in as many courses from Great Learning Academy as you like and pursue several courses at once.
Why choose Great Learning Academy for this Introduction to TensorFlow & Keras Course?
Great Learning, a popular ed-tech firm, believes in transforming lives. Popular free online courses are offered by the Great Learning Academy initiative to help learners excel in the fields they are interested in free of cost.
Great Learning, a popular ed-tech firm, believes in transforming lives. Popular free online courses are offered by the Great Learning Academy initiative to help learners excel in the fields they are interested in free of cost.
Who is eligible to take this Introduction to TensorFlow & Keras Course?
No eligibility criteria are set for this course. You can further your learning in TensorFlow, Keras, CNN, and Neural Networks, by directly enrolling in the course.
What are the steps to enroll in this course?
To enroll in the Introduction to TensorFlow & Keras Course, follow the steps mentioned below:
1. Once you are on the "Introduction to TensorFlow & Keras" course page, locate the "ENROL FOR FREE" option at the top right of the page and click on it.
2. You will be taken to the signup page. enter your details and create your account.
3. You will be navigated to the course content after your profile is verified.
4. Start viewing the videos and your learning journey.
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