£10

An Introduction to Deep Learning - Evening Workshop by FeedForwardAI & Expe...

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Date and Time

Location

Location

Experience Haus at the Matter of Form offices

Unit 4 - Galaxy House

32 Leonard Street

London

EC2A 4LZ

United Kingdom

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Refund Policy

Refund Policy

Refunds up to 7 days before event

Event description

Description

What is the workshop about?

In recent years, deep learning methods have produced outstanding results across a range of fields including image recognition, image generation, natural language processing, recommendation and speech synthesis. The field has exploded, with new research and implementations appearing all the time. Join the future by learning to work effectively with this technology, develop models suitable to the task, and to modify, customise and debug existing implementations.

The workshop will also help you understand what will be covered on the longer format course - Foundations of Deep Learning.

Where is it?

Experience Haus at the Matter Of Form Offices – Unit 4 - Galaxy House, 32 Leonard Street, Old Street, London, EC2A 4LZ.

If using Old Street station, please take Subway 2 and then we are just a 2 minute walk from there.


Who is the instructor?

Dr Kevin Webster is an Honorary Research Fellow in Mathematics at Imperial College. Kevin recently co-designed and taught the graduate level course on Deep Learning in the mathematics department at Imperial College London in Autumn 2018. He completed his PhD in Mathematics (Dynamical Systems) at Imperial College and has over 7 years of research experience, including postdoctoral positions at Imperial College London and a Marie-Curie Individual Fellowship.


Who is this workshop for?

The evening workshop is open to anyone. The full course presumes pre-existing technical proficiency. You might be a web developer, backend developer or data scientist interested in expanding your skills to include machine learning.


Details of the full course - Foundations of Deep Learning

The full course aims to give developers/technical personnel a solid grounding in the field of deep learning, assuming no prior knowledge of the field. Regular practical sessions are combined with lecture-style content to consolidate the course material. By the end of the course you will understand the concepts underlying neural networks and deep learning, how these models are designed and trained, and gain an intuition of the knowledge encoded in these networks. You will also learn the basics of the Tensorflow framework and be able to design, build, train and apply your own network models.

Summary of the full course syllabus:

  • Introduction to artificial intelligence (AI), machine learning (ML) and deep learning (DL). Basic important concepts underpinning ML and DL.
  • Mathematical prerequisites review.
  • Fundamentals of neural networks: distributed representations, concept hierarchy. Layer transformations, loss functions, network training and optimisers.
  • Feedforward networks / multilayer perceptrons.
  • Network design and initialisation: Xavier initialisation, batch normalisation, dropout layers, weight and layer normalisation.
  • Convolutional neural networks. Convolutional and pooling operations, strides, padding, transposed convolutions.
  • Analysis, interpretation and manipulation of trained neural networks.
  • Practical sessions to practise and consolidate course material. These sessions comprise an introduction to the Tensorflow deep learning framework to implement many of the concepts covered.


About the FeedForward AI Academy

FeedForward AI is the bridge between A.I. research and its practical applications. The Academy courses enable software developers & decision makers within every business to develop theoretical and practical understanding of machine learning & deep learning, including core principles and specialist topics. Artificial intelligence will revolutionise every industry and we want to enable you and your business to lead the way.


What is Experience Haus?

Dedicated to delivering affordable education and spaces for self-improvement. Experience Haus provides applied learning courses for organisations and individuals covering an abundance of different digital expertise.

In the wake of expensive living costs, low cost education is essential. Experience Haus offers practitioner taught technical skills training for high demand disciplines such as Influencer Marketing, Product and UX Design and User Research. Crucially, the company goes above and beyond the purely technical and hopes to uncover the black holes in business. The company’s offering of events, part-time courses (pairing students with start-ups) and hands-on workshops intends to bridge the gap between economical and accessible learning for the curious. Experience Haus is proudly part of the Matter Of Form Group.

Website: http://www.experiencehaus.com


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Date and Time

Location

Experience Haus at the Matter of Form offices

Unit 4 - Galaxy House

32 Leonard Street

London

EC2A 4LZ

United Kingdom

View Map

Refund Policy

Refunds up to 7 days before event

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