Join Leonardo De Marchi and 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, selecting the proper architecture and using pre-trained models.

This course is part of Coding the World - A training series co-organized by Zenika and Skills Matter and will be offered virtually over 4 half‑day sessions from February 8 to 11, 2020.

Programme:

Day One

DL Basics

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

Feedforward Neural Networks

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

Lab 0: Getting Started with GPUs and cloud computing

Quickly set up a machine with Deep Learning and NVIDIA Docker
Set up additional libraries like keras-viz
Quick demo on how to use tensorboard
TensorFlow, Keras and Pytorch
Introduction
Overview
Pros and Cons
How to use the right tool

Lab 1: Getting Started with Keras

Basic concepts
Terminology
Exercise

Lab 2: Implement and train a feed-forward neural network in Keras

Tackling the problem of facial expression recognition
Convolutional Neural Networks (CNNs)
Understanding the convolutional architecture
Convolutional and pooling layers
Applications to image classification

Lab 3: Implementing CNN using Keras A

Extending a feed-forward network with convolutional and pooling layers
Using CNNs for image dataIntroduction to Docker Compose
Introduction to Docker Swarm
Introduction to Kubernetes
Docker Secrets

Day Two

Lab 3 continued: Implementing CNN using Keras B

Recap of the main concepts
Lab solutions

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

Practical tricks of the trade

Using pre-trained networks
Transfer learning
Visual debugging of DNNs

Lab 5: Practical tricks of the trade

Practicing concepts of the previous theoretical session

Closing remarks and feedback

Introduction to Multi-Armed bandit and Reinforcement Learning

More: https://skillsmatter.com/courses/754-deep-learning-fundamentals-with-leonardo-de-marchi

About the Author - Leonardo De Marchi

Leonardo De Marchi is Lead Data Scientist for Badoo, the World's largest dating website, and is a consultant for the European Union Commission, helping to develop a European strategy for Big Data. He holds a Master's Degree in Artificial Intelligence and has worked as a Data Scientist with the New York Knicks, and Manchester United FC, as well as large social networks including JustGiving.

Leo has extensive experience in a wide variety of ML problems, such as anti-spam, revenue optimization and image recognition. He is the founder of London Artificial Intelligence, and has been a speaker at Predictive Analytics World - the premier machine learning conference.

Audience

If you are an administrator or developer and you want to learn how to administer and build enterprise-grade production systems using Docker, this Docker course is for you!

More about Coding the World

Coding the World is a joint venture from Zenika and Skills Matter to empower and upskill software professionals around the globe during this unprecedented time.

With Coding the World, Skills Matter and Zenika are adapting the expert-led training both companies previously offered in cities like London, Singapore and Montreal, and making them accessible to the world via live workshops hosted online throughout 2020 and 2021.

Learn More about all the upcoming courses & workshops here - https://skillsmatter.com/go/coding-the-world

Know more about Zenika Singapore here - https://www.zenika.sg/

TERMS & CONDITIONS

Zenika Singapore reserves the right to amend these Terms and Conditions at any time.
Order cancellations and order amendments are not allowed.
Please note that Zenika Singapore reserves the right to cancel or re-schedule training if necessary. In the unlikely case that Zenika Singapore must cancel or reschedule any training, Zenika Singapore will inform all attendees one week in advance and will endeavour to provide an alternative date.
There will be strictly no refunds for no-shows.
Zenika and Skills Matter owns sole copyright of all content.

Deep Learning Fundamentals with Leonardo De Marchi

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