382 Little Collins Street
Melbourne VIC, 3000
(03) 9008 5922
Venture into deep learning with this two-day workshop from Silverpond that will take you from the mathematical and theoretical foundations to building models and neural networks in TensorFlow. You will apply as you learn, working on exercises throughout the workshop. To enhance learning, a second day is dedicated to applying your new skills in team project work.
Programming vs Machine Learning vs Deep Learning
Neural Network Notation
Essential concepts in neural networks: Neurons, Weights, Activation Functions, Loss,
Optimisation, Training, Regularisation, Architecture, Datasets, Layers.
Embeddings/ AutoEncoding/ Representation Learning
Convolutions/ Pooling/ CNNS
By the end of this workshop you will:
Have a deep intuitive understanding of deep learning.
Have experience building deep learning networks in Python and TensorFlow.
Built and trained models for image classification and representation learning/clustering.
This hands-on workshop is ideal for both data science and programming professionals, who are interested in learning the basics of deep learning and embarking on their first project.
The first day provides a solid base of knowledge around deep learning, through group learning and exercises.
We will cover key concepts in the field and introduce them with examples.
You will also learn how to build models and neural networks in Tensorflow, through practical examples
The second day provides hands-on experience in deep learning model development.
Participants will consolidate their new knowledge by working in small groups on complete projects. Project options will be provided across image processing and generative models.
Learn practical techniques for your deep learning projects from experts in solving real world problems