A beginners guide for building neural networks in tensorflow

A beginners guide for building neural networks in tensorflow
How to learn deep learning and neural networks in tensorflow from scratch. Tensorflow training for beginners.
Description

Hello and welcome to the beginner’s guide in neural networks in tensorflow with python.

I assume that you are a beginner and that you have no or little experience with deep learning, neural networks and google’s tensorflow so far. What I expect is that you are interested in machine learning neural networks and artificial intelligence ( AI ) in general!

You want to learn the fundamentals and you want to dive into this topic which will shape the world of tomorrow. Self driving cars, industry 4.0, robotics,… all those areas are playgrounds for neural networks.

So it makes sense to dive into this topic and learn the basics. This course is designed for students who want to learn the tensorflow syntax from scratch and who want to build their first neural network.

We will not go deep into the math. Instead we will learn step by step how to code a neural network in tensorflow. Each step will be explained. At the end of the course we will have created, trained and tested a complete neural network.

And all this will happen in less than 3 hours.

"From my personal experience****I can tell you that companies will actively searching for you if you aquire some skills in the data science field. Diving into this topic can not only immensly improve your career opportunities but also your job satisfaction!"

Exited? You should be! So let’s do it together!

See you in the first lecture.

Who this course is for:
  • beginners in neural networks and machine learning
  • I assume you have no or little experience with tensorflow and neural networks so far
  • students who are eager to learn and dive into one of the hottest topics currently out there
  • You want to take advantage of the data driven opportunity ahead

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