Deep Learning AI with Python and PyTorch (English)

Lesmethode :

Klassikaal

Algemeen :

Deep Learning with PyTorch is a comprehensive course designed to equip you with the essential knowledge and skills to describe, train and test (Deep) Neural Networks. The course uses PyTorch, an open source deep learning library which makes it possible to create high level machine learning models. Using interactive sessions and practical exercises, you will learn how to build and run your own networks using PyTorch.

Doel :

The primary goal of the Deep Learning with Pytorch course is to equip students with a fundamental understanding of deep learning concepts, specializing their knowledge and practical skills in the PyTorch framework. By the end of this course, students will be capable of designing, training, and optimizing a variety of deep learning models using PyTorch.

Doelgroep :

This course is designed for individuals who are interested in expanding their data science skillset or to those who want to incorporate applications of machine learning in their current job.

Voorkennis :

The following prior knowledge is required:
- Learn to Program in Python
- The Python Programming Language
Some experience in math (and mathematical insight) and data handling is beneficial but not mandatory.
En de volgende cursussen:

• Python for data analysis - introduction to PANDAS (English)

Onderwerpen :

- What is Machine Learning
- The need for data
- Data transforms
- Tensors
- Linear Regression
- Autograd
- PyTorch Loss
- PyTorch Optimizers
- Convolutional Neural Networks
- Overtraining
- Recurrent Neural Networks
- Sentiment Prediction
- PyTorch Models
- Deployment
- Hugging Face ML Community