What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | Edureka

Below are the topics covered in this tutorial:

1. What Is Artificial Intelligence?
2. What Is Machine Learning?
3. Limitations Of Machine Learning
4. Deep Learning To The Rescue
5. What Is Deep Learning?
6. Deep Learning Applications

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(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

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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 24x7 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!

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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.

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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.

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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.

[guruprasath]

Awesomely put crisp and to the point session. Thank you for sharing. Keep up the effort.

[menakakamath]

Edureka is the best place to learn new technologies! Love it. Amazing efforts by all instructors to help learners. Awesome channel!

[HB-jfyq]

This is a great video. Thank you very much for sharing.

[suba]

Wow awesome video.It's much useful & interesting...Hatsoff to you guys

[vanigupta]

Nice introductory session for the beginners to learn about deep learning. Pretty sorted on point things said in the video. Its a great help. Thanks

[costamelissac.]

Awesome work guys, keep up the good work....
Awesomely put crisp and to the point session. Thank you for sharing. Keep up the effort.

[lynnc.mcdonald]

Thanks Sir. You are simply awesome :)
Thanks for teaching the basics of Deep Learning.

[arumugamkumar]

hi, I before watching Edureka Deep learning video i don't have knowledge about deep learning but after watching i clearly understand(perfectly ) about deep learning .i really thanks for video making team.

[waleedal-khateib]

I work at Facebook and deep learning now is the gateway for future

[laurentgarnier]

Thanks for sharing these interesting materials. Could it be possible to
allow me (and others) to contribute to translations? Because in my
country (and others) people are not necessarily good enough in English
to understand. It would be very helpful and the world would become
better.

[technicalrohit]

I really learned something very quickly!!😊

[apoorvsrivastava]

waiting for other videos ... awesome video ... great explanation

[sairy]

Explain a general example for backpropogation

[sanheensethi]

Thanks For giving me Link for the Playlist

[williamjayaraj]

Thanks for teaching the basics of Deep Learning.

[GauravKumar-eibt]

In the machine learning example of flowers how can the machine develop a relation between sepal length, width, etc without us mentioning it.

[jiteshmohite]

Great tutorial !!! Just have one question now a days lot of things coming in Ml and deep learning, so I am now confused from where to start ? I am thinking to start tensorflow and gain deep knowledge in it ? Is it the right choice ?

[alok]

Awesome work guys, keep up the good work....

[dompower]

excellent place where I can learn without supervision

[jakec]

You guys should do a video on how chatgpt/bard works.