Register now for our upcoming Introduction to TensorFlow and Deep Learning workshop being held on Friday, 12 March delivered online via Zoom from 10:00am – 3:30pm AEDT. The workshop will be led by instructors from the Monash eResearch centre and the Data Science and AI Platform.
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This workshop introduces natural language as data for deep learning. We discuss various techniques and software packages (e.g. python strings, RegEx, Word2Vec) that help us convert, clean, and formalise text data “in the wild” for use in a deep learning model. We then explore the training and testing of a Recurrent Neural Network on the data to complete a real world task. We’ll be using TensorFlow v2 for this purpose.
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This workshop is an introduction to how deep learning works and how you could create a neural network using TensorFlow v2. We start by learning the basics of deep learning including what a neural network is, how information passes through the network, and how the network learns from data through the automated process of gradient descent. You would build, train and evaluate your very own network using a cloud GPU (Google Colab). We then proceed to look at image data and how we could train a convolution neural network to classify images.
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This workshop introduces natural language as data for deep learning. We discuss various techniques and software packages (e.g. python strings, RegEx, Word2Vec) that help us convert, clean, and formalise text data “in the wild” for use in a deep learning model. We then explore the training and testing of a Recurrent Neural Network on the data to complete a real world task. We’ll be using TensorFlow v2 for this purpose.
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Register now for our upcoming Introduction to Tensor Flow and Machine Learning workshop is being held on Friday 22nd March at the Clayton campus. The workshop will be led by instructors from Monash eResearch centre and CSIRO
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