Computers are getting smarter, and with AI pushed in to the pot, machine learning has become a prominent technological revolution that is changing how we run our devices. Devising algorithms for AI aren’t that easy, and require an extensive library to help them perform various tasks.
TensorFlow is one such library, this open-source library is created for dataflow programming across a range of tasks. It is also a symbolic math library that is commonly used for machine learning applications such as neural networks.
TensorFlow was designed by the Google team on their closed-source machine learning system known as DistBelief. This amazing system was designed to be useful in both research and commercial applications
If you want to boost your career in Machine Learning and AI, then this is a great system for you to learn. And because it is such a complex subject to learn, we have designed a brilliant course to help you simplify it.
This course lays a solid foundation to TensorFlow, a leading machine learning library from Google AI team. You'll see how TensorFlow can create a range of machine learning models, custom deep neural networks to transfer learning models built by big tech giants. You will also learn how to use and reuse tensorflow effectively and apply on industry relevant problems.
Everything you learn in this course will help you get a better footing in your career, as well as help you move to much bigger and better things.
What you’ll find in this course:
Introduction to TensorFlow
What is TensorFlow &why should you use it?
TensorFlow as an Interface and as an environment
Installing Tensorflow and becoming familiar with the interface
Running your first TensorFlow program
Building actual Neural Networks using TensorFlow
Deepening the Networks and integrating Deep Learning
Transfer Learning using Keras and TFLearn
Enroll Now and start building deeper and smarter algorithms with TensorFlow.
About the Instructor
United Network of Professionals
At UNP our vision is to make learning fun, fulfilling and personalized. We are working towards democratizing data science and breaking down the entry barrier to analytics and data science world.
We are committed to develop and publish top-notch data science learning materials. The materials are designed to make the students ready for the data science industry. All the contents developed at UNP are digital, either as e-books, video lectures, VR classrooms. Apart from distributing contents to individuals, we provide support for learning materials for corporate clients.
The learning materials are developed only by experienced data science professionals and professors from tier 1 universities. Every material goes through strict review procedure before it gets published. Every material coming out from UNP is accompanied by code snippets, application to industrial projects and tips to prepare for a job interviews.
Aligned with our vision, UNP scholarship program is set to provides learning opportunities for students with financial challenges.
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