Python and Tensorflow

  • 2 Days
  • Intermediate
  • Virtual | Classroom
  • £ On Request

This course will cover the main ideas of deep learning, and how to implement it in practice with Tensorflow

Book For My Team

Your team will learn...

Understand the core concepts of deep learning

Learn how to implement deep learning in practice with tensorflow

Competently use keras library


Deep learning is a cutting-edge machine learning technique for classification and regression. In the past few years, it has produced state-of-the-art results in fields such as image classification, natural language processing, bioinformatics and robotics. This course will cover the main ideas of deep learning, and how to implement it in practice with tensorflow: a software framework for efficient and scalable deep learning. We’ll introduce the high-level keras library, which allows deployment of standard neural networks with just a few lines of code, as well as the details of raw tensorflow, allowing a deeper level of customisation.

This workshop is delivered by our training partner Jumping Rivers


Supervised learning

How to frame classification, regression and prediction tasks.

Multilayer perceptrons

A simple neural network architecture.

Training neural networks

Stochastic gradient descent and back propagation.

Deep learning

Learning complex features from big data.

Parameter tuning

Regularisation methods to avoid overfitting, choosing activation functions.

Convolutional neural networks

Learning from image data.


Using GPUs with big data


Basic knowledge of Python and familiarity with mathematical concepts such as exponentiation, logarithms and summation notation. Some knowledge of calculus, matrix algebra and probability would be helpful but is not essential. The ideas needed from these subjects will be explained during the course.

Ryan Adams

Used to make software for learning as a developer, now helping software makers learn.

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Andrew Paul

Was a teacher, then a lecturer and now a trainer at Instil. Has been completed the circle.

Gemma Esler

Software developer in the semiconductor industry before switching to lecturing and then Instil as a trainer.

For a breakdown of what to expect in our training, check out our training overview page.
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