A Friendly Introduction to Codeless Deep Learning with KNIME Analytics Platform

Overview

This course aims to introduce learners to codeless deep learning using the KNIME Analytics Platform. By the end of the course, students will understand the main concepts behind deep learning, build a simple neural network in KNIME to solve a classification task, and learn about Convolutional Neural Networks and their application in Computer Vision. The course teaches how to define, train, and deploy deep learning models in a fully codeless manner using KNIME Deep Learning - Keras Integration. The intended audience for this course includes beginners interested in deep learning and data science enthusiasts looking to work with neural networks without coding.

Syllabus

Introduction
Basic Idea
Example
New Sample
Gradient Descent
Forward Pass
Learning Rate
Important Considerations
Fully Connected Neural Network
When do Neural Network become Deep
Computer Vision
Representation
Encoding
Filters
Filter multiplication
Convolutional layer
Weight
Stride
Pooling
Network Structure
Network Architecture
Transfer Learning
KNIME Hub
Nam Community
Book Recommendation
Webinars