This will be a hands-on session, so bring your laptop, covering the first 3 chapters of my last book. Please do not buy the book as I will provide the first three chapters to attendees for free.
This session will cover the basics of the multi-layer perceptron, backpropagation, activation functions, tensors and loading/feeding tensors into networks, building auto-encoders, convolutional neural networks, recurrent neural networks and GANs. The final project will be the development of a simple GAN.
Attendance for this session is limited to 20 and all those attending will be expected to bring a laptop with Python 3.6 installed and a preferred development environment. Anaconda is a very good choice for Windows users and Visual Studio or Visual Studio Code also work well.
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