Practical Deep Learning and Computer Vision with Python offered by Oxford University
- Public University
- 1 Campus
- Estd. 1096
Practical Deep Learning and Computer Vision with Python at Oxford University Overview
Practical Deep Learning and Computer Vision with Python
at Oxford University
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
Practical Deep Learning and Computer Vision with Python
at Oxford University
- Earn a certificate of completion from Oxford university
Practical Deep Learning and Computer Vision with Python at Oxford University Course details
Practical Deep Learning and Computer Vision with Python
at Oxford University
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
Practical Deep Learning and Computer Vision with Python at Oxford University Curriculum
Practical Deep Learning and Computer Vision with Python
at Oxford University
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
Practical Deep Learning and Computer Vision with Python at Oxford University Faculty details
Practical Deep Learning and Computer Vision with Python
at Oxford University
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
Practical Deep Learning and Computer Vision with Python
at Oxford University
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Practical Deep Learning and Computer Vision with Python at Oxford University Contact Information
Practical Deep Learning and Computer Vision with Python
at Oxford University
Address
University Offices, Wellington Square, Oxford OX1 2JD, United Kingdom
Oxford ( Oxfordshire)
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