PyTorch with Python Training

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 2 Days
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Python (along with R) has become the dominant language in machine learning and data science. It is now commonly used to fit complex models to messy datasets. PyTorch is an open-source machine learning library for Python, based on Torch, used for applications such as natural language processing. It is primarily developed by Facebook’s artificial-intelligence research group, and Uber’s Pyro software for probabilistic programming is built on it.

Transfer learning

Leverage the power of existing neural network architectures and weights. This is a powerful technique for training finely tuned models for accomplishing tasks with your own data.

Deep learning landscape

An exploration of other types of deep learning, the tasks that they aim to solve and how we might implement these in PyTorch. For example unsupervised, reinforcement learning.

The course assumes familiarity with the python programming language including experience of OOP, writing ones own classes in python. Some knowledge of calculus, matrix algebra and probability would be helpful but not essential.

  • Leverage popular python packages such as sklearn and PyTorch
  • Build feed forward neural networks for both regression and classification tasks using the PyTorch package
  • Understanding of deep learning terminology

Introduction to machine learning

A brief introduction to the topic of machine learning and the machine learning landscape in Python.


Building Preprocessing pipelines for data.

Introduction to deep learning and PyTorch

An introduction to the PyTorch framework for training deep learning models.

Building a neural network

Defining a class blueprint for a neural network model in PyTorch.


Understanding feedforward networks, the backpropagation algorithm and optimisation.

Supervised learning

Building and training models for both regression and classification tasks. Consideration and exploration of different layers and activation functions within a neural network architecture.

Convolutional neural networks

Learning with image data.

Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Istanbul, London and Ankara facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
24 January 2024
Istanbul, Ankara, London
2 Days
Classroom / Virtual Classroom
19 September 2024
Istanbul, Ankara, London
2 Days
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