Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Training | Edureka

This Edureka video of "Chatbots using TensorFlow" gives you an idea about what are chatbots and how did they come into existence. It provides a brief introduction about all the layers involved in creating a chatbot using TensorFlow and Machine Learning.

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

- - - - - - - - - - - - - -

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!

- - - - - - - - - - - - - -

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.

---------------------------------

#Autoencoder #Tensorflow #DeepLearning #NeuralNetworks #python #MachineLearning #DimensionalityReduction
-------------------------------------

Got a question on the topic?
Please share it in the comment section below and our experts will answer it for you.

[edurekaIN]

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For Tensorflow Training and Certification, Call us at US: [phone] (Toll Free) or India: [phone]

[anaghashenoy]

Best video on chatbot ever!! Thank you edureka! you people are awesome.. Can I get the code, please!

[shivadarshans]

I'm more interested in edureka vedios thank you for your service

[sanjeevi]

Wow Your videos are awesome there is no words to lotttt

[neelkanthbhavnagarwala]

Its Informative and i want to try with it can you share the source code please?

[sandiptasubirkhare]

Your Video helps me out in understanding the Chatbot. Can I get the code...???

[vaibhavshah]

i am working on this project and searcing content and i got #edureka best content thank u soo much ... plzz can u provide your source code???

[nkemdiijoma]

Hey edureka you guys videos are getting more and more informative and better but one thing though could you please share the source code

[PrantaChowdhury-nkve]

This is great can I have the code please?

[krp]

Hi edureka, very well explained, can u share the source code please !!

[vasukipatla]

Awesome video ! Could yu please share the source code?

[verlin]

Your videos are very much helpful, it was reallyyyy informative. I want to try this, can you share the code?

[cmoulali]

Awesome !!
Your videos are very much helpful, after searching good content for few days I found your channel and which is fascinating I watch every video of you, I love #edureka

[nirajshrestha]

Thank you edureka this video is very informative and very useful for creating chatbots, explained so well. Please can you provide me with the source code. Best Regards from Nepal.

[Will-szkn]

This video was really educating and I would like to have the source.

[saurabhtripathi]

thanks for the video it was a great help

[RahulChaudhary]

Thanks Edureka...really excellent video i saw on chatbot. Can you please share the source code ?

[aqibali]

Great presentation 👍👍👍
Can I get code of this project..

[parthasarathinayak]

This video is very much helpful. Can you please share the source code?

[niveditaranebennur]

Hey edureka .. you guys are doing a great job ! Thanks a ton .. but I have a question .. can we give voice input and get the relevant output in text format ??