🌟 About
We specialise in teaching cutting edge technology in an intuitive and hands-on way. Our workshops are organised in a group setting and learning takes place by a mix of theory and practice.
Our present focus is on machine learning and AI.
🏝 Workshops and Courses
» Deep Learning Workshop (read more)
- Python
- ~ TensorFlow
- ~ Jupyter Notebooks
- ~ Google Colaboratory
Venture into AI and deep learning with this two-day workshop. You will be taken from the mathematical and theoretical foundations, to building models and neural networks in TensorFlow.
You will apply as you learn, working on exercises throughout in a supportive and collaborative environment.
The second day is group projects centered around implementing deep learning models in TensorFlow.
Concepts covered
- Programming vs. Machine Learning vs. Deep Learning
- Notation of Neural Networks
- Autoencoders, Visual Search
- Representation Learning, Embeddings
- Convolutions, Pooling
- Neurons, Weights, Activation Functions
- Layers, Loss Functions, Optimisation
- Optimisation, Gradient Descent, Regularisation
- TensorFlow, Building and Training Models
- Data Loading, TensorBoard, Model Evaluation
Essential details
| Duration | 2 days
9am-5pm sharp, every day. |
| Costs | $1,750* (Standard) |
| Location | Melbourne CBD |
| Dates/Tickets |
|
| Requirements | A laptop. |
| Prerequisites |
Take our Python Quiz on Google Forms
If you answer at least 80% of the questions in this quiz correctly, you'll receive a 10% discount code! |
*Note: People that identify as women, queer, or gender fluid, receive a 15% discount (use the code "FEMINISM"), and people of Aboriginal or Torres Strait Islander descent can attend for free (use the code "ATSI"). These discounts are provided as part of our commitment to diversity, empowerment and rebalancing.
» AI For Leaders Launching March 2019
- Teams
- ~ Strategy
- ~ AI Adoption
- ~ Cutting-Edge Technology
We will cover:
- How to build, manage, and support AI teams
- The people and roles required
- The skills needed to build production-scale systems
- When it is best to outsource vs. build an internal team
- Overview of AI algorithms
- What kinds of data they require
- What is cutting edge and what is ready for adoption
- What is currently being researched
- What are the technologies and directions to watch
- AI in practice
- How do you adopt AI
- How do humans fit in
- How do you measure the progress of AI systems
- What kinds of promises and guarantees can you make
- What are the risks
Be notified when this course opens by signing up to the newsletter!
🌈 Our Values
"AI has the capability of providing something for everybody, only because, and only when, it is created by everybody.” ~ Jane Jacobs (She said "cities" instead of "AI", but it's well-expressed!)
Empathy & Ethics
The software we write and algorithms we deploy will affect people. We aim to be aware of potential impacts and create a culture of empathetic ethical engineering.
Community & Diversity
We want to create a positive impact in our local community. We believe that change is best driven locally, upwards.
Empowerment
Skills allow for empowerment and can yield independence. By building technical skills, we hope to enable others to make the kind of change they want to see; change that benefits them and their community.
Happiness
Learning should be fun! We want people to come away from this workshop feeling excited, happy and motivated to implement technology systems.
Adaptability
Each group of people comes to the Braneshop with different skills, interests and abilities. We aim to be adaptable to the groups we get, to engage with each individual on a personal level, and present the material in a way that is meaningful, relatable and intuitive.
