Taking the first steps in AI
with Deep Learning workshop

5 online sessions of theory & practice

Workshop Brief

Lots of buzzwords, lots of unicorns, but we will make it practical and lead you in your first steps to the magical place of data science, specifically, deep learning. We will talk a bit about the theory behind it, but mostly, we will demonstrate the variety of common techniques and usages. You will acquire the fundamental knowledge and tools to implement deep learning architecture by yourself.

  • The workshop will be held in Hebrew
  • Lectures and lecturers might be changed
90% OF THE PROCEEDS ARE BEING DONATED TO THE 3 CHOSEN NONPROFIT ORGANISATIONS
THE OTHER 10% HEPLS US TO EXPAND OUR ACTIVITY

Who Can Join Us

The workshop is for anyone who has at least 2 years of experience with programming (preferably some knowledge of python) , logic orientation, and an outstanding will to learn.
In the workshop, we will use python, sklearn, tensorflow and keras.
This is a complex topic, you should work hard and be very focused during those weeks ^_^

Who we donate to

Our Lecturers

With more than 10 years of experience working with data, Noa is a data science freelancer and consultant, helping companies make the best use of today's machine learning technology in order to hit their KPIs. In her spare time, Noa leads the Israeli community of Women in Data Science, blogs about machine learning, and mentors junior data scientists taking their first steps in the field.

Noa Weiss
AI & Machine Learning Consultant

Software Engineering, Data Science with more than 12 years of industry experience delivering architecture services and enterprise software. hands-on specializing in Big Data, unsupervised Learning, Neural Networks & NLP.​

Yechiel Amsalem
Senior data scientists at AT&T

Dr. Eyal Gruss is a machine learning researcher and consultant expertizing in image and language processing, with experience in diverse domains, including: medical, financial, cyber, sensors, ads, web, real estate and creative. Eyal Holds a PhD in physics and is a Talpiyot graduate. He is a mentor for Google Launchpad and gives lectures and workshops for both professionals and the general public. Eyal is also a failed entrepreneur, a social activist, a poet and a new-media artist creating interactive installations and computer-generated art.​

Dr. Eyal Gruss
AI/Machine Learning/Deep Learning advisor and consultant

Peter has been a neural networks enthusiast for 14 years, previously founded a startup for automatic lip reading from video and Chief Architect at a CyberMDx. Currently runs a blog about AI in visualization and 3D modeling and heads a group of technological experts tackling hard problems for customers: abelians.com

Peter Naftaliev
AI Entrepreneur

A data scientist specialized in video & text analysis, currently working with AiVF Ltd as VP R&D. Wide experience in data management, architecture and reasoning. An AI & DL enthusiast. Cofounder of Give & Tech.​

Ron Weiner
VP R&D at AiVF
Co-founder & CEO of Give & Tech

Ayelet is an Algorithm Developer who specializes in Computer Vision and Machine Learning. Ayelet is also a Content Writer in Little Big Science and lectures for professionals and the general public.

Ayelet Sapirstein
Algorithm Developer at Supersmart

With more than 10 years of experience working with data, Noa is a data science freelancer and consultant, helping companies make the best use of today's machine learning technology in order to hit their KPIs.

In her spare time, Noa leads the Israeli community of Women in Data Science, blogs about machine learning, and mentors junior data scientists taking their first steps in the field.

Noa Weiss
AI & Machine Learning Consultant

Software Engineering, Data Science with more than 12 years of industry experience delivering architecture services and enterprise software. hands-on specializing in Big Data, unsupervised Learning, Neural Networks & NLP.​

Yechiel Amsalem
Senior data scientists at AT&T

Dr. Eyal Gruss is a machine learning researcher and consultant expertizing in image and language processing, with experience in diverse domains, including: medical, financial, cyber, sensors, ads, web, real estate and creative. Eyal Holds a PhD in physics and is a Talpiyot graduate. He is a mentor for Google Launchpad and gives lectures and workshops for both professionals and the general public. Eyal is also a failed entrepreneur, a social activist, a poet and a new-media artist creating interactive installations and computer-generated art.​

Dr. Eyal Gruss
AI/Machine Learning/Deep Learning advisor and consultant

Peter has been a neural networks enthusiast for 14 years, previously founded a startup for automatic lip reading from video and Chief Architect at a CyberMDx. Currently runs a blog about AI in visualization and 3D modeling and heads a group of technological experts tackling hard problems for customers: abelians.com

Peter Naftaliev
AI Entrepreneur

A data scientist specialized in video & text analysis, currently working at AiVF Ltd as VP R&D. Wide experience in data management, architecture and reasoning. An AI & DL enthusiast. Cofounder of Give & Tech.​

Ron Weiner
VP R&D at Aivf
Co-founder of Give & Tech ​

Ayelet is an Algorithm Developer who specializes in Computer Vision and Machine Learning. Ayelet is also a Content Writer in Little Big Science and lectures for professionals and the general public.

Ayelet Sapirstein
Algorithm Developer at Supersmart

Schedule

Each workshop day is built from live lecturing and hands-on practice.
We will be available over slack to answer anything for the rest of the week.
Practice makes perfect – at the each workshop day you will have lots of home exercise to help you examine all you’ve learned.
During the workshop you will meet the “Amutot” we donate to in this workshop.

16
September
2020, Wednesday

What differs AI from other kind of algorithms? What’s the relation between AI and Machine Learning? How did it all start and what is Deep Learning? In this lecture we will cover the buzz words, history and general notions around the topic of AI from a technical perspective.

23
September
2020, Wednesday

We’ll gain a deep intuitive understanding of the machine learning field. Start with covering the main concepts and tools of machine learning, both theoretically and practically.
This is the fundamentals for the understanding of how to use Deep Neural Networks.
Among the main topics: what is the prediction pipeline, feature engineering, linear & logistic regression, learning tasks and measurement metrics.

30
September
2020, Wednesday

Basic terminology, history and motivation.
What is “Neural Networks”, common frameworks (Keras).
Main blocks in the process and best practices:
Data preparation
Training and optimizers
Regularization

7
October
2020, Wednesday

The basic building blocks, tips and tricks in image classification with deep learning.

Convolutions
Convolutional neural networks
Preprocessing and data augmentation
Common architectures for image recognition
Overview of approaches for other computer vision tasks
Generative algorithms

14
October
2020, Wednesday

We will go through the differentiators of processing time series data.
Which methods of deep learning can be useful for it, RNNs, CNNs etc.
How can we create useful baseline initialisation  and transfer learning.
Training vs inference mode – there are multiple configurations worth knowing.

Special price for early birds until 10.10.2020 🚀

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