ACS Masterclass: Deep Learning Essentials Series
This four-part series will take place across a four-week period, with each session running on a Wednesday for 2 hours. This hands-on course will involve interactive activities and outcome-based learning with a different topic addressed each session. The program must be purchased as a whole, and registrations are not available for individual sessions. These events are aimed at professionals who are looking to develop and acquire deep learning skills.
About this event
This thorough 4-week course is a foundational program that will take you through the essentials of deep learning and prepare you to participate in the development of leading-edge AI technology.
One year of coding (any language) experience is a prerequisite.
In the 4 sessions, you will go over both theories and demos of the main aspects of deep learning, including Convolutional Neutral Nets (CNNs), Embeddings, and Recurring Neutrals Nets (RNNs).
AI is transforming many industries and the latest Digital Pulse and the Technology Impacts On The Australian Workforce reports ranked Deep Learning as one of the top required skills in the ICT industry in the coming years.
The ACS Masterclass: Deep Learning Essentials Series provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career.
All workshops will be delivered by our professional expert facilitator, Sachin Abeywardana, Senior Machine Learning Engineer at Canva.
Don't miss the opportunity to learn from his extensive experience as a facilitator and as an engineer in the ultimate Australian start-up, Canva.
Breakdown of the course:
Session 1 - Wed 28 July:
Introduction to Deep Learning
- Theory: Stochastic gradient descent
- Demo: Financial News Sentiment Classification
- Theory: Deep Neural Nets/ Feed-Forward Networks
- Demo: Fitting to toy problem
Introduction to Convolutional Neural Nets:
- Theory: More activation functions (softmax)
- Demo: MNIST classification
- Theory: Intro to CNNs
- Demo: MNIST with CNN + MaxPool
- Time permitting: Theory: Batch Norm + Dropout + Strides
Introduction to Embeddings
- Demo: Word Embeddings (skip-gram)
- Practical: Word Embeddings (Continuous Bag of Words)
Recurrent Neural Nets
- Theory: RNNs + LSTMs
- Demo: Fake News Classifier
- Practical: Financial News Sentiment Classification
- Time permitting: Theory: Stacking RNNs
The price of the course includes the 4 sessions
Speakers
Event Terms & Conditions
Registration
- Payment in full is required the time of booking in order for the registration to be valid.
- To avoid disappointment, ensure you pay for your booking(s) before the registration closing date. Anyone that has not received a confirmation email will not be on the event attendance list and therefore will not be admitted to the event.
- Online registration ends at the time stated on the event details page.
Cancellation and Refund
All cancellations must be processed through the website, a refund will only be considered if it is at least 3 working days prior to the event.
Disclaimer
- ACS reserves the right to change the program at any time. Every effort will be made to ensure a program of equivalent standard and members are updated with changes.
- All dietary requirements are considered, however we cannot guarantee a 100% allergen free environment.
- ACS reserves the right to prohibit entry or eject any person from an ACS event based on behaviour deemed inappropriate by ACS staff, its agents and/or others working under its authority.
- Filming or streaming by attendees is not permitted. If an attendee is found to be doing so they will be asked to leave the event immediately and further action may be taken.
- Photography and/or filming may take place during this event, by accepting these terms you consent to this. Please let a member of ACS know if you do not want your picture taken.
COVID-19 Event Attendance Compliance
By registering to attend an ACS in person event you are agreeing to the below terms and conditions
- If an attendee is displaying flu or cold like symptoms in the days leading up to the event and therefore is not able to attend, ACS will refund the registration fee.
- If an attendee comes to an event and is displaying flu or cold like symptoms they will be asked to leave
- We ask all ACS members to respect the social distancing guidelines, if an attendee repeatedly disregards these guidelines, they may be asked to leave
- ACS reserves the right to cancel the event within 24 hours' notice if either the speaker or the event host has advised us that they are exhibiting flu or cold like symptoms
- All attendees must provide a valid phone number and email address to be contacted on if there is reason to notify about a possible COVID-19 exposure
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