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Deep Learning Certification Training

Run with the pace of modern technology. Take this Online Deep Learning certification course to accentuate your career prospects. Instructor-Led live training in Deep Learning course that can help you to gain great skills in AI and machine learning frameworks.

Next Class Begins in -1 days - 15 Dec 2019

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Why Deep Learning Certification?

Some latest facts to assess why Deep Learning Certification Training is gaining much demand these days

37%

People have reported job satisfaction with their profiles

19%

The rise in the number of students opting for deep learning training

567

Deep Learning related jobs were posted on LinkedIn in October 2019

$112K+

Is the average annual compensation of Deep Learning engineers in the USA

9%

The rise in the overall employment of Deep Learning engineers in the USA

Do You Know Why Deep Learning Training is Necessary to Grow Your Career?

12%

Increase in demand for Deep Learning professionals all across the globe within 2019

Instructor-led Live Online Classes


Upcoming Deep Learning Classes

Starting
Duration
Price
15 Dec

15 Dec ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 649
Discount on Call
25 Dec

25 Dec ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 649
04 Jan

04 Jan ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 649
14 Jan

14 Jan ( 6 Weeks)

09:00 PM - 10:30 PM EST

USD 649
Detail

15 Dec ( 6 Weeks)

09.00 - 10.00 PM EST

USD 649
Discount on Call

25 Dec ( 6 Weeks)

09.00 - 10.00 PM EST

USD 649

04 Jan ( 6 Weeks)

09.00 - 10.00 PM EST

USD 649

14 Jan ( 6 Weeks)

09.00 - 10.00 PM EST

USD 649

Earn your Certificate

Best-in-class content by leading faculty & industry leaders in the form of videos and projects, assignments & live sessions.

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Deep Learning Certification Training Course Roadmap

Let us see what all milestones you will be covering in your Deep Learning certification training.

Introduction of Deep Learning & its related concepts

    • Learn about Introduction to Deep learning.
    • Learn How exactly Deep Learning Works
    • Learn about the neural network
    • Get to know more about the Deep Learning Models
    • Learn about Supervised Learning with Neural Networks
    • Get to know Why is Deep Learning taking off?
    • Learn about Deep Learning
    • Why is Deep Learning taking off?
    • Advantage of Deep Learning
    • The Vanishing Gradient

Deep Learning Models

    • Learn about Restricted Boltzmann Machines
    • Get to know about Deep Belief Nets
    • Get knowledge of Convolutional Networks
    • Learn about Recurrent Nets
    • Learn about Autoencoders
    • Get knowledge of Recursive Neural Tensor Nets
    • Get knowledge of Deep Learning Use Cases
    • Get to know about the Deep Learning Library

Neural Networks with TensorFlow

    • Get an elaborate intro to TensorFlow
    • Learn about Computational Graph
    • Learn about Key highlights
    • Learn about Gradient Descent
    • Learn about TensorBoard
    • Learn about Modularity
    • Learn about Sharing Variables
    • Learn about Activation Functions
    • Get knowledge of Illustrate Perceptron
    • Get knowledge of Training a Perceptron
    • Get knowledge of Important Parameters of Perceptron
    • Get to know more about TensorFlow code-basics
    • Get knowledge of Graph Visualization
    • Learn about Constants, Placeholders, Variables
    • Learn about Creating a Model

Convolutional Neural Networks (CNN)

    • Get an elaborate intro to TensorFlow
    • Learn about Computational Graph
    • Learn about Key highlights
    • Learn about Gradient Descent
    • Learn about TensorBoard
    • Learn about Modularity
    • Learn about Sharing Variables
    • Learn about Activation Functions
    • Get knowledge of Illustrate Perceptron
    • Get knowledge of Training a Perceptron
    • Get knowledge of Important Parameters of Perceptron
    • Get to know more about TensorFlow code-basics
    • Get knowledge of Graph Visualization
    • Learn about Constants, Placeholders, Variables
    • Learn about Creating a Model

Recurrent Neural Networks (RNN)

    • Get a brief introduction to the RNN Model
    • Learn about application use cases of RNN
    • Learn about Modelling sequences
    • Get knowledge of Training RNNs with Backpropagation
    • Learn about Long Short-Term Memory (LSTM)
    • Get knowledge of Recursive Neural Tensor Network Theory
    • Learn about Recurrent Neural Network Model
    • Get knowledge of RNN applications

Deep learning with Keras

    • Get an introduction to Keras
    • Learn how to compose Models in Keras
    • Learn about Sequential Composition
    • Learn about Functional Composition
    • Learn about Predefined Neural Network Layers
    • Get to know what is Batch Normalization
    • Learn about Saving and Loading a model with Keras
    • Learn about Customizing the Training Process
    • Get to know about Using TensorBoard with Keras
    • Learn about Use-Case Implementation with Keras

Deep Learning Certification Training Course Roadmap

  • Let us see what all milestones you will be covering in your Deep Learning certification training. Here is a glimpse of the principles that are elaborately covered in this exclusive deep learning training specially designed for you.

    With JanBask Training, you can be assured of the most contemporary course syllabus. This is because our research and development team is constantly gathering market data and is analyzing it to make sure you get but the best training that you deserve.

Course Curriculum

Learn what you'll get after successful enrollment

Deep Learning Corporate Training

Deep Learning Corporate Training

Now create an excellent workforce to deal with your deep learning projects by signing up for a Deep Learning Corporate Training. Deep Learning Corporate Training helps your team to gain exceptional knowledge and command in the field.

FAQs on Deep Learning Certification Course and Training

Deep Learning FAQs

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Our Reviews


6K + Learners | 1578 Reviews

Customer Reviews

Donny Papic

This course was amazing. Great way to learn some of the practical elements of data science. Coming from a maths background I really appreciated the fact that the theory behind the models we built was explained. A wonderful course and I am now about to enroll in other courses.

Jeffrey

This is a pretty good beginner course for anyone totally new to this field. Still, this course is a subset of Machine Learning A-Z course by the same team. Almost everything covered in this course is covered in that plus it is Hands-On in Python and R. This course basically provides a whole workflow of a data science project.

Chenaj Teja Potu

An absolutely great course. I'm new to learning about Data Science and Kirill's explanation really is step-by-step and makes no assumptions about what you should know. He explains why each action is done and how it applies to the real world. By the time you finish this course, you'll really feel much more capable of analyzing data.

Bosun Sogeke

Really this course is very helpful and I have learned a lot of new areas in data science especially data preparation, data cleaning and data analysis. I have learned about data modeling using logistic regression which will be very helpful in my day to day work.

Kim Adams

Well-structured and practice-oriented course, I would recommend it to anyone who wants to quickly get up to speed in such core Data Science skills as data visualization, ETL, modeling, and communication.

Gururaju BM

Loved this course. Lots of good material and the instructor is great. He keeps things exciting and keeps challenging. This course kind of made me realize what I like the most and pushed me towards a career path. Definitely, recommend it if you are anything like me- a fresher with little knowledge in data science and interested in pursuing a career in this field.

Nibha Thakur

I think the course did well in terms of the flow of topics and covering the fundamentals. It does add great value to beginners. However, I expected it to cover data mining and visualizations in more detail. Anyway, kudos to super data science team for their efforts.

Debmalya Datta

Very good course, love the outline of a broad topic which still has lots of practical examples. The speed is exactly right for a beginner, he doesn't dwell too long on any subject or details but instead is focused on necessary practicalities. Good job!

Prakash Shekade

This is a good survey course that has helped me not only develop the skills necessary to break into the data science field but also to understand how the entire process works as a whole. A big thank you to the JanBask team.

Buddhadev Choudhury

This is an amazing course. Probably the best introduction possible to data science. The instructor is speaking in a very understandable way and spend time on the useful details. Thanks.

Zakaria

Very good course. Gave me the information and tools that I was looking for in order to apply for Data Science jobs. Data Science A-Z course by is very nice & interactive course. I am very impressed with the instructor’s approach in explaining all the data science concepts with related examples.Thanks a million.

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