AI2FUTURE WORKSHOP

1 full day workshop powered by Infobip
Get into deep dive with Leonardo De Marchi, Head of Data Science and Analytics at Badoo

7th of October, AlgebraLAB
AlgebraLAB

Day 1

08:00 – 16:15, October 7th
Training course

Deep Learning Course

Gain the tools and knowledge you need to begin developing your own Deep Learning projects in this one-day course with Leonardo De Marchi.

Take a look at Deep Learning concepts with Keras by analysing an image recognition project and learning to develop the model from start to finish.

Examine the business needs of a project and design a solution, create a multi layer network and get an intro to some more sophisticated practices including implementing different types of networks for image recognition, using dropouts and random noise to improve results, and select the proper architecture.


Workshop

Schedule

DL Basics

  • Introduction to Deep Learning
  • Key ML concepts and terminology
  • Examples in industry and research
  • Formalizing your own DL problem

The Perceptron

  • Theory
  • Implementing it from scratch
  • Implementing it in keras

Feedforward Neural Networks

  • Training neural networks, optimization methods, error back-propagation
  • Introduction to Keras and Pytorch

Lab 2: Implement and train a feed-forward neural network in Keras
Tackling the problem of facial expression recognition

Recurrent Neural Networks

  • Understanding recurrent architectures
  • Elman, LSTM and GRU units
  • Bi-directional architectures
  • Combining RNNs with convolutional and feed-forward layers
  • Applications to speech
  • Biological sequences and information retrieval

Lab 4: Implementing RNNs using Keras
Implementing and training RNNs using LSTM units on a simple natural language processing task

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Workshop

Moderators

We believe that currently the best strategy to integrate machine learning into your systems is to train your employees and empower them.
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Leonard

De Marchi

Head of Data Science and Analytics at Badoo, lead instructor at ideai.io