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Practical Deep Learning and Computer Vision with Python 
offered by Oxford University

Practical Deep Learning and Computer Vision with Python
 at 
Oxford University 
Overview

Experience of using a programming or scripting language will prove beneficial to you

Duration

2 months

Total fee

25,600

Mode of learning

Online

Course Level

UG Certificate

Practical Deep Learning and Computer Vision with Python
 at 
Oxford University 
Highlights

  • Earn a certificate of completion from Oxford university
Details Icon

Practical Deep Learning and Computer Vision with Python
 at 
Oxford University 
Course details

Skills you will learn
What are the course deliverables?
  • Learn the basic aspects of Python programming and the accompanying libraries for deep learning
  • Learn to tackle real-world problems including computer vision, natural-language processing, image classification, and video analysis
  • Solid understand of what deep learning is, when it's applicable, and what its limitations are
  • How to address commonly encountered issues
More about this course
  • The aim of this course is to provide an introduction to programming for deep learning, using the Python programming language and accompanying libraries
  • The course seeks, first, to introduce the basics of deep learning, from collecting data, pre-processing it (cleaning/correcting it) to modelling, evaluating and optimising neural networks and then tackling real-world problems including computer vision, natural-language processing, image classification and video analysis
  • The focus will be on tools, methods and hands-on programming rather than diving into the theoretical basis, in order to be appreciated by participants with a minimal mathematical background
  • The basic elements of programming using the Python programming language will be introduced and clearly demonstrated in class
Read more

Practical Deep Learning and Computer Vision with Python
 at 
Oxford University 
Curriculum

Week 1

Mathematical Preliminaries: Multivariable analysis; Linear Algebra; Mathematical Optimisation

Week 2

Python Fundamentals: NumPy; SciPy; Matplotlib; Pandas

Week 3

Perceptron and Adaline: theory and implementation in Python

Week 4

Feed forward neural networks

Week 5

Tensorflow with Keras

Week 6

Convolutional Neural Networks

Week 7

Recurrent Neural Networks

Week 8

Generative Adversarial Neural Networks

Week 9

Computer vision I: Image analysis with OpenCV + Final Assignment

Week 10

Computer Vision II: Video analysis with OpenCV + Final Assignment

Faculty Icon

Practical Deep Learning and Computer Vision with Python
 at 
Oxford University 
Faculty details

Dr Mcebisi Ntleki
Dr Ntleki obtained his DPhil in Oxford on a topic in computational biolinguistics. He has taught courses in mathematics, statistics and statistical programming using medium size and large data sets arising in medical research: sequential MCMC, using R, and Deep learning and computer vision using Python.

Practical Deep Learning and Computer Vision with Python
 at 
Oxford University 
Entry Requirements

Eligibility criteriaUp Arrow Icon
Conditional OfferUp Arrow Icon
  • Yes

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Practical Deep Learning and Computer Vision with Python
 at 
Oxford University 
Contact Information

Address

University Offices, Wellington Square, Oxford OX1 2JD, United Kingdom
Oxford ( Oxfordshire)

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