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CREATED;VALUE=DATE-TIME:20180106T012743Z
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DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20180127T090000
DTSTAMP;VALUE=DATE-TIME:20180106T012743Z
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UID:http://calagator.org/events/1250473059
DESCRIPTION:# Introduction to Deep Learning with Tensorflow and Keras
\;\n
\;\nDeep Learning (DL) is a fast growing and exciting sub-field
of machine learning and AI that has recently made extraordinary advancem
ents in many applications such as image recognition\, natural language p
rocessing\, speech transcription\, classification and forecasting.
\;
\n
\;\nThis 2 day introductory course focuses on giving you a firm fo
undation of deep learning techniques using a combination of presentation
s and hands-on exercises. The presentations introduce essential backgrou
nd and theory and allow for questions and discussions. And the exercises
use Jupyter notebooks with Keras and Tensorflow to show you the essenti
als of building and training neural nets.
\;\n
\;\nDeep learning c
an transform any industry. This course will help you find creative ways
to apply it to yours.
\;\n
\;\n
\;\n## You'll learn:
\;\n
3\;\n* The fundamentals of deep learning including
\;\n * how to b
uild dense / fully connected networks
\;\n * how to use convolutio
nal layers
\;\n * when to use recurrent LSTM/GRU networks
\;\n
* how to choose an optimizer and loss function
\;\n * when to u
se dropout and batch normalization
\;\n * how to prepare training
and test data
\;\n * and more
\;\n* How to navigate the options
and decisions for different model architectures.
\;\n* Efficiently u
se and fine-tune pre-trained models.
\;\n
\;\n
\;\n## So that y
ou can:
\;\n* identify important and appropriate questions
\;\n* c
ollect and prepare real world data
\;\n* design and train effective m
odels
\;\n
\;\n... to get the answers you need for your business a
nd career.
\;\n
\;\n
\;\n## You'll get the most out of this cou
rse if:
\;\n
\;\n* You have a familiarity with Python and Numpy.&#
13\;\n* You have a deep curiosity and interest in learning about machine
learning.
\;\n* You want to understand and work with cutting edge de
ep learning approaches with complex data.
\;\n
\;\n**Note: You don
't need to be a math wizard** - this is a hands on practical class. Thou
gh knowing more is always helpful\, deep understanding of linear algebra
and and calculus are not necessary. We will cover all the math basics n
ecessary to get started in the class.
\;\n
\;\n## Topics
\;\n&#
13\;\nOver the 2 days we will cover
\;\n
\;\n1. Deep Learning Intr
oduction and Overview
\;\n2. Dense NNs and Keras
\;\n3. Essential
Theory
\;\n4. Convolutional NNs
\;\n5. Data Preparation
\;\n6.
Keras API Deep Dive
\;\n7. Transfer Learning
\;\n8. Advanced Archi
tectures
\;\n9. Introduction to Tensorflow
\;\n10. Practical Train
ing Tips
\;\n11. Tensorflow Deep Dive
\;\n12. Production and Deplo
yment
\;\n
\;\n## Preparation
\;\n
\;\nIf you'd like to work
with software installed on your own laptop we suggest you download and
install [Conda](https://conda.io/docs/) and use to to install Python3\,
Numpy\, Pandas\, Jupyter\, Tensorflow and Keras.
\;\n
\;\nA [docke
r](https://www.docker.com) image with the necessary software pre-install
ed will also be made available.
\;\n
\;\nIf you can't install Cond
a or Docker\, let us know when you register and we will strive to provid
e access to a running Jupyter Notebook instance.
\;\n
\;\nAlso\, f
eel free to bring a CSV of a data set you are interested in exploring an
d a description of what you'd like to predict.
\;\n
\;\n## Schedul
e
\;\n
\;\nSaturday Jan 27 and Feb 3rd\, 9AM - 1PM
\;\n
\;\n
Alchemy Code Lab
\;\n30 NW 10th Ave
\;\nPortland\, OR 97209
\;\
nalchemycodelab.com
\;\n
\;\n## More information and future classe
s
\;\n
\;\nFor more information and information on future classes
please contact Julio and sign up for announcements at https://e-string.c
om/training/
\;\n\n\nTags: machine learning\, workshop\, Code School\
, data science\, python\, developer\n\nImported from: http://calagator.o
rg/events/1250473059
URL:https://www.eventbrite.com/e/introduction-to-deep-learning-with-tenso
rflow-and-keras-2-day-workshop-tickets-41893286949
SUMMARY:Introduction to Deep Learning With Tensorflow and Keras
LOCATION:Alchemy Code Lab: 30 NW 10th Ave.\, Portland OR 97209
SEQUENCE:1
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