Deep Learning Using TensorFlow

Persontyle (EDSA partner), in partnership NVIDIA Deep Learning Institute, are excited to announce this 2-day Deep Learning Using TensorFlowpractical Deep TensorFlow Learning using TensorFlow workshop in London on 15-16 September, 2016.

Deep learning is a hot topic in both academia and industry since it has recently dramatically improved the state-of-the-art in areas such as speech recognition, computer vision, predicting the activity of drug molecules, and many other machine learning tasks. The basic idea in deep learning is to automatically learn to represent data in multiple layers of increasing abstraction, thus helping to discover intricate structure in large datasets.

This 2-day workshop introduces you to the basic components of deep learning, what it means, how it works, and build various algorithms such as deep feedforward neural networks, convolutional networks, and recurrent neural networks using TensorFlow. You will learn how to train and optimize standard neural networks, convolutional neural networks, and long short term memory (LSTM) networks. Complete learning systems in TensorFlow will be introduced via hands-on labs and exercises.

The workshop will provide excellent opportunity to learn fundamentals of deep learning, starting from definitions of neural networks and their learning criteria, specific aspects of deep networks, optimization, regularization, convolutional structures for image data, recurrent neural networks for sequence modelling, as well as how to use TensorFlow for building intelligent applications.

TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization. The system is designed to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system.

Enrol now to practically learn everything you need to design, train, and integrate neural network-powered artificial intelligence into your applications using TensorFlow.

You can purchase tickets, view the full programme and the prerequisites at