Deep Learning and AI with Python – London – July 2019

£675.00£825.00

When? 11th-12th of July 2019

Where? London Institute of Banking & Finance, 8th Floor, Peninsular House, 36 Monument Street, London, EC3R 8LJ, United Kingdom

Course type? 2-day open-to-public training course

Deadline for registrations? Tuesday, 9th of July 2019 at 16:00 London (UK) time

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Description

The “Deep Learning with Python” training course is focused on practical implementations of artificial neural networks and deep learning methods using Python programming language with state-of-the-art Python libraries used in AI and predictive analytics e.g. scikit-learn, h2o, keras, tensorflow and PyTorch for classification, regression, textual and sequential analysis, and image recognition tasks.

The course covers the most important concepts of neural networks e.g. introduction to various neural network algorithms, differing network topologies, activation and loss functions, operations on tensors of varying dimensionality as well as more advanced multi-layered (deep) learning methods with Python including training, validation and optimisation of distributed neural network models with the h2o framework and deep learning applications with keras, PyTorch and tensorflow libraries. Examples of approaches include convolutional and recurrent neural networks, long short-term memory and selected generative deep learning models.


 

Programme outline

The course will run for two days (Thursday and Friday) between 9:30am and 5:00pm and will consist of alternating lecture-style presentations and practical tutorials. The example datasets used during tutorial sessions will come from social sciences, psychology, business and finance fields, however the contents may vary depending on specific interests of participants (based on the Participant’s Skills Inventory). There will be two 15-minute coffee/tea breaks and one 1-hour lunch break on each day of the course.

The programme for this course covers the following concepts and topics:

    • Introduction to artificial neural networks, multi-layer networks and deep learning – defining network components and topologies,

    • Behaviour, structure and implementation of typical neural network algorithms e.g. backpropagation, feed-forward etc.; defining activation and loss functions for specific classification and predictive tasks,

    • The logic and data representations of multi-layered artificial neural networks – from scalars, vectors and matrices to multi-dimensional tensors; tensor operations and transformations with NumPy, SciPy and scikit-learn libraries,

    • Understanding of the machine and deep learning process – methods of data preparation and preprocessing, feature engineering, model training, validation and testing, regularisation techniques, model selection based on standard and custom-made evaluation metrics,

    • An overview of deep learning requirements from the perspective of data processing architecture (RAM, CPUs, GPUs, cloud computing solutions etc.),

    • Using h2o, keras and tensorflow Python packages for building and implementing neural networks and deep learning approaches for selected classification and regression tasks,

    • Training, validation and optimisation of convolutional neural networks for image classification and recurrent neural networks for textual and sequential analysis with keras, PyTorch and tensorflow libraries,

    • A comprehensive overview of more advanced deep learning methods with Python e.g. combined convolutional and recurrent neural networks, long short-term memory (LSTM) and generative models e.g. generative adversarial networks (GANs).

What is included?

Apart from the contents of the course, Mind Project will provide you with the following:

  • printed course pack with all presentation slides, cheatsheets and other essential course information,

  • digital (USB memory stick) Course Manual including all presentation slides, Python course code scripts (Jupyter notebooks) and a list of reference books and online resources,

  • additional home exercises and all data sets available to download,

  • stimulating, friendly and inclusive learning environment in a small group (typically 10-14 attendees) led by experienced and energetic tutors and course leaders,

  • modern and comfortable training venue located in the heart of City of London – at the London Institute of Banking & Finance, next to the Monument underground station,

  • refreshments and a light, energising lunch on each day of the course,

  • Wi-Fi access,

  • networking opportunity,

  • Mind Project course attendance certificate.

Further instructions

  • In order to benefit from the course, we recommended that all attendees have the most recent version of Anaconda distribution of Python (by Continuum Analytics) installed on their laptops (any operating system). As Anaconda’s Python is a free and fully-supported distribution you can download it directly from https://www.continuum.io/downloads. Please contact us should you have any questions or issues with the installation process.

  • Practical experience in data analytics using Python (e.g. pandas and NumPy libraries) and good knowledge of statistics is recommended for delegates attending this course. It is advisable that this course is preceded with our open-to-public “Python for Data Analysis” and “Machine Learning with Python” training courses.

  • Attendees are encouraged to complete the online Participant’s Skills Inventory to allow Mind Project and our course tutors to customise the contents of the course depending on the level of attendees’ knowledge and their areas of interest. The data obtained through the Participant’s Skills Inventory will be held fully-confidential and will only be used to provide a quality data analysis training.

  • By purchasing a place on one of our courses you agree to the Terms and Conditions. Please read the Terms and Conditions before making a booking.

  • The deadline for registrations on this training course is Tuesday, 9th of July 2019 at 16:00 London (UK) time. Mind Project reserves the right to end the registration process earlier if all places are booked before the deadline.

Discounts and multiple bookings

Apart from discounted fees for students or employees of charitable organisations, we are able to offer further discounts on the overall cost of your training if you wish to attend multiple related courses or enrol several delegates on this specific course. Please note that this offer is only available through our website.

Please note that the discounts are calculated automatically when tickets are added to the Cart. For bookings of 6 and more delegates on one course, we recommend that you contact us directly – we may be able to arrange a separate course just for you at our office or your own premises at a discounted rate.

 

Arrange this course at your premises

This open-to-public course is a shortened and more general version of our fully-customisable in-house training course “Deep Learning with Python”. If your delegates cannot attend this public course, or you are interested in arranging this training course at your premises or simply you need a bespoke, made-to-measure training solution, please visit this page and press Ask For Quote button to enquire about and request a quote for the in-house version of this course based on your specific needs and desired outcomes of the training.

You may also email us directly at info(at)mindproject.io and include the following information in your enquiry:

  • contact details to a person who should receive the quote,

  • number of delegates you would like to train,

  • approximate number of days (or half-days) you would like to arrange the course for (including additional support/project guidance if needed),

  • location of the training venue,

  • any details on course customisation or specific topics you would like the course to address – most importantly, please indicate desired outcomes of the course if different then presented above,

  • any other questions you may have.

Course location

This course will be held at the London Institute of Banking & Finance, 8th Floor, Peninsular House, 36 Monument Street, London, EC3R 8LJ, United Kingdom.
Please see the map below.

Deep Learning and AI with Python – London – July 2019

Additional information

Ticket type

Regular fee, Discounted fee

Event Details

Date: July 11, 2019 - July 12, 2019

Start time: 09:30

End time: 17:00

Venue: London Institute of Banking & Finance, 8th Floor, Peninsular House, 36 Monument Street, London, EC3R 8LJ, United Kingdom

Phone: info@mindproject.io or 0203 322 3786

Email: info@mindproject.co.uk

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