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TensorFlow Certification Training
Implement advanced Deep Learning techniques and drive innovation with this TensorFlow course
28
hrs Live Training60
hrs MCQs, Assignments3
Live Projects24
hrs Hands-on with Python
28
hrs Live Training60
hrs MCQs, Assignments3
Live Projects24
hrs Hands-on with Python
Instructor-led Live Training
- 28 hours Live Sessions
- 60+ hours MCQs and Assignments
- 3 Live Projects
- 24 hours of Hands-on with Python
Team/Corporate TrainingTraining delivered for your teams as per your requirements
Training delivered for your teams as per your requirements
One To One TrainingGet the benefits of personalized training with your own trainer
Get the benefits of personalized training with your own trainer
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Description
Big data and data science are the careers of the future. Powered by big data, Deep Learning has made business more viable across healthcare, genomics, cybersecurity, e-commerce, agriculture, and other sectors and this is the right time to invest in a career in Deep Learning. Deep-learning networks are distinguished from ordinary neural networks by having more hidden layers, or so-called more depth.
Deep learning engineers who are experts in libraries such as TensorFlow are in much demand for their ability to implement deep learning for numerical computation of mathematical expressions, using data flow graphs. Developed in the Google labs, TensorFlow is one of the best libraries to implement advanced techniques in deep learning. This workshop will help you understand TensorFlow and explore deep neural networks and layers of data abstraction. Through this hands-on workshop, you will gain real-world contextualization through deep learning problems concerning research and application.
What You Will Learn
1. Understand TensorFlow
Apply deep machine intelligence and GPU computing with TensorFlow
2. Application of TensorFlow in real life
Access public datasets and use TensorFlow to load, process, and transform the data
3. Building models using TensorFlow
Discover how to use the high-level TensorFlow API to build more powerful applications
4. Detection of Object
Use deep learning for scalable object detection and mobile computing
5. Recommendation Systems Using Factorization Machines
Explore active areas of deep learning research and applications
Prerequisites
- We recommend applicants to have knowledge of programming (preferably in Python).
- Familiarity with statistics, algebra, probability, and exposure to data science is preferred.
Who should Attend?
KnowledgeHut Experience
Instructor-led Live Classroom
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Curriculum Designed by Experts
Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the training.
Learn through Doing
Learn theory backed by practical case studies, exercises, and coding practice. Get skills and knowledge that can be effectively applied.
Mentored by Industry Leaders
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Advance from the Basics
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Code Reviews by Professionals
Get reviews and feedback on your final projects from professional developers.