Deep Learning Workshop

Learn DL and Develop Your AI intuition

ai intuition

Sept 6th, 2019

5 Fridays

09:00-14:00

600-1000 NIS

You choose

WeWork Toha

Tel- Aviv

Sept 6th, 2019

5 Fridays

09:00-14:00

600-1000 NIS

You choose

WeWork Toha

Tel- Aviv

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.

Who Can Join Us

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

Our Lecturers

Assif is a seasoned entrepreneur, with hands-on business and technical experience focused on AI. AI/ Machine Learning/ Deep Learning advisor and consultant Co-founded White Raven (Formerly Fringefy) Graduated Cum Laude, Master's in Cognitive Science at the Hebrew University. Lectured, tutored and presented in academic, commercial, and military settings​

Assif Ziv
AI Advisor

With wide range technological background and almost 18 years of experience in software development in various architecture and technologies, and a big believer in "anything can be solved using code". Today I am working on various machine learning and deep learning projects and specialize in computer vision and NLP on edge devices​

Maoz Tamir
CTO - AI Factory

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

Tamir Nave has 10 years experience in the field of algorithms, focusing on computer vision and deep learning as a developer, team leader, consultant and mentor. Tamir holds a Bsc in math & EE and MA in EE. Tamir is the founder of the collaborative Hebrew blog for AI: www.ai-blog.co.il​<

Tamir Nave
Algorithms Expert as a Freelance: Deep learning, Computer Vision Founder of ai-blog

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

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

Assif is a seasoned entrepreneur, with hands-on business and technical experience focused on AI. AI/ Machine Learning/ Deep Learning advisor and consultant Co-founded White Raven (Formerly Fringefy) Graduated Cum Laude, Master's in Cognitive Science at the Hebrew University. Lectured, tutored and presented in academic, commercial, and military settings​

Assif Ziv
AI Advisor

With wide range technological background and almost 18 years of experience in software development in various architecture and technologies, and a big believer in "anything can be solved using code". Today I am working on various machine learning and deep learning projects and specialize in computer vision and NLP on edge devices​

Maoz Tamir
CTO - AI Factory

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

Tamir Nave has 10 years experience in the field of algorithms, focusing on computer vision and deep learning as a developer, team leader, consultant and mentor. Tamir holds a Bsc in math & EE and MA in EE. Tamir is the founder of the collaborative Hebrew blog for AI: www.ai-blog.co.il​

Tamir Nave
Algorithms Expert as a Freelance: Deep learning, Computer Vision.

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

Ron Weiner VP R&D at Aivf and data scientist at ICV Co-founder of Give & Tech ​

Who we donate to

Schedule

Each workshop day is built from 3 training sessions.
Sessions 1 and 2 also includes a 30 minutes hands-on practice, don’t forget to bring your laptop!
Practice makes perfect – at the each workshop day we will reveal our weekly challenge.

6
September
2019, Friday

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.

What is Neural Network and how to create one.
What is a biological neural network and how is it relevant to an artificial neural network.
We’ll create a deep neural network with pure python and learn how to do a binary classification.

Data preprocessing in the wild It’s all All numbers Categories. The null problem Underflow overflow Scaling Feature selection Correlation Manually and using reduction technique called Principal Component Analysis. The Odd ones – outliers Understanding some key concepts which enable deep learning to be so incredible. “It’s your loss” customize loss function Control the network data feed Save and refit It’s always overtired Dropout Batch Normalization When GBM wins

13
September
2019, Friday

Basic terminology
History and motivation
Computer vision / image processing
Generative adversarial networks (GANs)
Natural language processing
Multimodal methods combining image and text Video, audio, speech Game playing

Neural Networks
Keras
Data preparation
Training and optimizers
Regularization
Best practices
MNIST and CIFAR10 datasets
Image recognition

Convolutions
Convolutional neural networks
Preprocessing and data augmentation
Common architectures for image recognition
Overview of approaches for other computer vision tasks
Generative algorithms
Autoencoders (optional)
Anomaly detection (optional)

20
September
2019, Friday

The sequential data source
-What is a sequence
-Sequence representation in 3d
-Sequence in the real world
-Sequence to sequence 
Squash your problems away 
LSTM network and sequence importance
Why we need recurrent nets for time series data and why LSTMs
increase our network’s memory

NLP as a sequence problem
Bag of words
Embedding
LDA
Sentiment analysis – classifying text

Tensorflow library and Language Translator
We’ll go over several translation methods and talk about how Google Translate is able to achieve state of the art performance.

27
September
2019, Friday

How to Generate Art using giving style image and content image.
How this process works and why deep learning does it so well.
Exposure to less intuitive and more complex loss functions.

Using deep neural networks for image classification. 
The basic building blocks.
Tips and tricks in image classification . 
Object detection basics ,classification with localization.
Different types of Object detection  networks – SSD , YOLO
Object Segmentation

Deep convolutional GAN
Generative Adversarial Networks.
We’re going to use a Deep Convolutional GAN to generate images of pokemons. Architecture and implementation.

4
October
2019, Friday

How to Learn from Little Data
One-shot classification for a small labeled image dataset.
We’ll also go over the architecture of its inspiration .

Deep fake
Non sequential data input
NAS – neural architecture search
Meta Learning
Transfer Learning

Summarize & what’s next

Special price for early birds until 10.10.2020 🚀

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