Deep Learning Training Bootcamp - Hands-On with Python, TensorFlow | Live Instructor-Led Classes | Certification & Projects Included | 100% Moneyback Guarantee | Tokyo, Japan

Tokyo - Deep Learning Training Bootcamp - Hands-On with Python, TensorFlow | Live Instr...

日曜日 17.2.2019
から 10:30
土曜日 13.4.2019
へ 13:30
0 客室乗務員

Deep Learning Training Bootcamp - Live Instructor-led Online Classes
Have you ever wondered how self-driving cars are running on roads or how Netflix recommends the movies which you may like or how Google search gives you such an accurate results or how speech recognition in your smartphone works or how the world champion was beaten at the game of Go?
Machine Learning and Deep Learning are behind these innovations. In the recent times, it has been proven that Deep Learning approach to solving a problem gives far better accuracy than other approaches. 
This course is designed for those who want to gain hands-on experience in solving real-life problems using Deep Learning. After finishing this course, you will find creative ways to apply your learnings to your work. For example

You would like to build a robot which can recognize faces or change the path after discovering obstacles on the path.
Or maybe you would like to unearth hidden gems (like predicting next year revenue or fraudulent transactions or building a recommendation engine etc) in your company's tons of data(logs, financial records, HR reports or e-commerce transactions reports).

The course also prepares you to become top-rated Deep Learning Engineer and similar roles. 

Tools and Technologies covered:
Tensor Flow, Artificial Neural Networks, Training Deep Neural Nets, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, Reinforcement Learning, Machine and Deep Learning Project Approach, Projects

For more on curriculum, please click here 

Deep Learning Training Bootcamp - Live Instructor-led Online Classes

36 Hours of Live online instructor-led classes
Classes spread over 12 sessions of 3 hours each
90 days of lab access (real-life production cluster with all the tools pre-configured)
Training by industry experts
Lifetime access to course content
Real life projects
Earn certificate
LinkedIn recommendation and endorsement
24x7 online experts help


Build cats classifier using neural network
Classify large images using Inception v3
Classify clothes using TensorFlow
Predict the hourly rain gauge total

What To Expect:

The Classes - The classes are held online on for 3 hours each for an overall of 36 hours. Classes will be conducted on Saturday and Sunday
The Mode - We use Google Hangouts or Zoom to enable live, interactive classes that are also recorded for future reference.
The Audience - We have a global audience that logs in to work hand in hand with our world-class instructors. 
The Certificate - Get certificate after completing the course

Why Is This Training Different:

The Instructors - Our instructors are industry experts, people who have been there and done that. They not only encourage questioning but also give solutions that are practical and applicable at an enterprise level.
The Practice - We provide an actual cluster for hands-on practicing. It removes the need to install virtual machines and makes learning easier and fun.
The Curriculum - Created by industry experts to equip attendees to hit the ground running. CloudxLab sessions along with the curated curriculum make starting a project at work or attending an interview on Deep Learning a cake walk.

CloudxLab is a leader in the domain of Big Data, Artificial Intelligence, Deep Learning, Machine Learning and related technologies. The company provides consulting, training, solutions and products related to above-mentioned technologies
Why CloudxLab?

Best in Class Trainers handpicked for the courses
Lab for hands-on practice
Anytime Anywhere Classes
Class Recordings available for lifetime
24x7 support to customers for any technical query
Popular Online interactive platform
Certification at No Extra Cost
Real Life Projects

For any queries, write to us:
 Kelly Thomas, Business Development Manager
 Phone: +1 (412) 568-3901

Pop Title
Pop TextPop Button1Pop Button2