AI development in practice with Deep Learning and TensorFlow and Pytorch - NEW PROGRAM

Kurssin toteutukset:

  • 01.11.2018 - 02.11.2018 Helsinki 1 900 € + alv

This training was ranked #2 in the world out of 8000 trainings, according to the Inc. Magazine. Now it’s available in Helsinki!

DETAILED DESCRIPTION:

Deep Learning is taking with world by storm and technologies such as TensorFlow are  empowering the age of Artificial Intelligence.  This workshop will teach you from a gentle introduction into Artificial Neural Networks and then it will take you into a deep dive into developing your first Neural Network with TensorFlow already!

The instuctor Tarry Singh is as CEO of deepkapha.ai, a startup focused on advanced AI research for applied AI for enterprises. He has so far trained over 12,000 deep learning engineers himself in classical mode — in corporate enterprises, educational institutions as well as with humanitarian organizations. He is also mentor at Courser’a DeepLearning Specialization working with Andrew Ng, the world’s leading figure in Artificial Intelligence as well

We will also explore the  the necessary skill sets required so you can fast track from a novice, whiz past the world of Machine Learning and get a good grip of Deep Learning by understanding how neural networks work.

We will take a look at the use of TensorFlow in your production environments and we will also talk about the many pitfalls and how to avoid them. Topics covered in the two days:

  1. Learn about Artificial Intelligence  and popular Neural Network Architectures
  2. Learn about TensorFlow’s Basics (Sessions, Graphs, Variables, Placeholders), TensorFlow’s Framework approach to Neural Network and latest developmentin the upcoming Tensorflow 2.0 version!
  3. Learn to build your first TensorFlow Neural Network — we build our first AI Neuron (using simple linear fit using 2D data)
  4. Learn to build your first TensorFlow Neural Network — Image Classification with the famous MNIST Image Dataset OR detect Cats vs Dogs — you pick!
  5. Learn about use of RNN in Tensorflow and Pytorch — here we will experiment with some genomic or time-series data
  6. Learning about use of TensorFlow in production — Distributed Computing, Exporting and Serving Models, Additional Tips & Tricks on Model Consstruction and TensorFlow Serving
  7. Finally as a special bonus for the class — you get to learn and possibly even play with the breakthrough activation function which deepkapha.ai researchers wrote. It’s called ARiA and it has beaten ReLU and Google’s SWiSH function hands-down!
  8. Wrap up and a surprise Homework Exercise — for those who dare 🙂

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