Learn to leverage Google Colaboratory for image processing tasks in this comprehensive tech tutorial that covers creating interactive notebooks, executing system commands, and implementing Python code for image manipulation. Master Python fundamentals while exploring image processing techniques, and dive into Convolutional Neural Networks (CNNs) through hands-on experience building, training, and evaluating a simple CNN model using the CIFAR-10 dataset. Delivered at DSC ADRIA 24, this nearly two-hour session provides practical knowledge for implementing deep learning solutions in computer vision applications.
Google Colaboratory and Python: Deep Learning Basics for Computer Vision Tasks
Data Science Conference via YouTube
Overview
Syllabus
Google Colaboratory and Python: Deep Learning basics for CV tasks | Kristina Host | DSC ADRIA 24
Taught by
Data Science Conference
Related Courses
-
Deep Learning - Computer Vision for Beginners Using PyTorch
-
Convolutional Neural Networks: Deep Learning
-
Deep Learning with Real-World Projects
-
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
5.0 -
Deep Learning: Convolutional Neural Networks in Python
-
Convolutional Neural Networks
