In this course, you will learn the foundation of Deep Learning and how to build your own Neural Network from scratch. This course combines both theory and practice to give participants deep understanding of the subject and hands-on experience via coding.
Participants must have experience in coding in Python language. If they don't, Python Programming course is recommended before this training.
The course is suitable for all participants who are familiar with the Python coding language, in addition to having basic knowledge of mathematics and algorithms.
Fundamentals of Deep Learning,
General information about Artificial Neural Networks and how they work, practical applied studies on how they are used in real life,
Designing deep learning models with the Python programming language,
Pytorch Tensors and more advanced Pytorch functions,
Things to consider in Data Science Projects,
Baseline Model, Gradient, Sigmoid, Non-linearity, Regularization, Binary ve Multi-Class Classification, Loss Function...
Introduction to PyTorch
Foundation of Deep Learning
Join our public courses in our Norway facilities. Private class trainings will be organized at the location of your preference, according to your schedule.