Deep Learning with PyTorch on Azure
Most of our classroom training courses take place in Belgium (Edegem) or The Netherlands (Breda). Please click the button with the desired date to check the exact location of the training.
In this course, we will provide an introduction to deep learning.
What is deep learning;
Explanation of the overall architecture;
Tuning parameters in order to deal with overfitting and underfitting;
Deploying our deep learning model as a Web Service in Azure.
We will use the Pytorch framework during the course.
This training is intended for people who already have hands-on experience in machine learning.
Upon completion of this course, participants will understand how to implement the following:
Explain what deep learning is and know its real life use cases.
Explain a deep neural network architecture.
Explain and and apply convolutional neural network.
Explain what Azure machine learning Workspace is and understand its different Services.
This course covers deep Neural Networks, also called Deep Learning. Hands-on experience in machine learning is required as we will go deep into code details.
Participants need to be familiar with the Python programming language and main machine learning libraries like Scikit-learn, NumPy, Pandas, ...
This is a BYOD (Bring Your Own Device) training. Please bring your own laptop to the course.
Introduction to Deep Learning
A-brief history about Deep Learning
Inspiration & real life use cases
Possibilities: Deep Learning use cases
Neural Network Architecture & Convolutional Neural Network
Overfitting and Underfitting, Parameter Tuning.
Training models and deploying them in Azure Cloud