1 CME Credit
ยท
AI
Let's play with convolutions! Build and train a Neural Network in 45 minutes
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Topics Covered
To jump to a specific chapter, click on the chapter title once the video is playing.
00:00 - Introduction and Overview of the Webinar
00:19 - Understanding the Basics of Neural Networks
02:05 - Goals of the Webinar
05:07 - Introduction to Images and CNNs
08:21 - Understanding Convolutional Layers
10:06 - CNN Layers and Filters
14:09 - Problem Definition for CNN
18:06 - Performance Metrics for CNN Evaluation
23:00 - Gathering and Preparing the Dataset
27:20 - Data Preparation and Splitting
31:38 - Transfer Learning and Model Architecture
34:33 - Training the CNN Model
39:09 - Data Augmentation Techniques
42:51 - Understanding Hyperparameters and Epochs
46:36 - Transfer Learning Explained
51:11 - Evaluating the Trained Model
53:42 - Demonstration with New Images
56:34 - Conclusion and Reflections on Training
60:01 - Final Remarks and Q&A
64:43 - Testing and Production-Ready Models
Lecturers
Daniel Eiroa M.D.
Spain
Daniel Eiroa is a Radiology Consultant and AI for Medical Imaging Specialist currently working at Primary Health Care Unit Barcelona Ciutat. FER-AIRP 2017 Fellowship Recipient.
Dr. Eiroa has authored more than 50 communications, scientific articles and book chapters. He regularly participates in training sessions and lectures on AI and Medical Data Science.
