Introduction to Artificial Intelligence | Deep Learning | Edureka

Share it with your friends Like

Thanks! Share it with your friends!

Close

( TensorFlow Training – https://www.edureka.co/ai-deep-learning-with-tensorflow )
This video on Artificial intelligence gives you an introduction to artificial intelligence with futuristic applications of AI. It also tells you how to implement artificial intelligence using deep neural networks.

The video covers the following topics:
1. What is Artificial Intelligence & its applications
2. Subsets of AI – Machine Learning & Deep Learning
3. What is Deep Learning?
4. Use Case – Recognizing handwritten digits from MNIST dataset
5. Applications of Deep Learning

Subscribe to our channel to get video updates. Hit the subscribe button above.

Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE

– – – – – – – – – – – – – –

How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

– – – – – – – – – – – – – –

About the Course
Edureka’s Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

– – – – – – – – – – – – – –

Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a ‘Data Scientist’

2. Analytics Managers who are leading a team of analysts

3. Business Analysts who want to understand Deep Learning (ML) Techniques

4. Information Architects who want to gain expertise in Predictive Analytics

5. Professionals who want to captivate and analyze Big Data

6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

– – – – – – – – – – – – – –

Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.

For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

Comments

edureka! says:

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka AI & Deep Learning Course curriculum, Visit our Website: http://bit.ly/2r6pJuI

Umer Farooq Khan says:

what an excellent demonstration

Shubham Kumar says:

Very nice information.
Thank you.

Rk Bishnoi says:

AI
My dream project

Krish Singh says:

Really helpful

RogueRY says:

The dark chocolate example was really helpful for understanding how neural networks work

Nivetha S says:

Great explanations thanq uuuu

Brahmaiahchowdary M says:

Nice Tutorial and Explanation is awesome

Gnanendra G says:

Hi ..am very thankful for uploading this. Now am working as a embedded software developer . Is it good to start my career in AI n machine learning . Please suggest me .

Neel Achhada says:

Just awesome….

Kamal Kapoor says:

Maine to yhi krni h bai

Sai Harshith Balla says:

It is really a very fascinating video on AI.
I want to learn AI and can you please tell me how can i do that?

manikanth kommoju says:

what are prerequisites for learning artificial learning since i am from linux admin background

Srinivas P N V says:

Nice and Informative.. liked it..

DIlip Kumar Nashetty says:

Can you send more videos about AI to this email ndilk521@gmail.com

Thanks

Mohammed Sufi says:

Excellent and simply explained. Great effort.

Karishma Joshi says:

great video… thanks for uploading

Write a comment

*