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A Friendly Introduction to Codeless Deep Learning with KNIME Analytics Platform


Understanding Deep Learning: From Basics to Convolutional Neural Networks in KNIME

Recent advancements in AI have provided solutions to previously unsolved problems. However, many tools still require overcoming the coding barrier.

In the first part of this webinar, we will cover the main concepts behind neural networks: from the artificial neuron to back-propagation. The second part will introduce Convolutional Neural Networks and their applications in Computer Vision.

Together, we will build a simple neural network in the KNIME Analytics Platform to solve a classification task. This example uses the KNIME Deep Learning – Keras Integration, enabling you to define, train, and deploy models without writing any code.

Roberto Cadili - Data Science Dojo
Roberto Cadili

Jr. Data Scientist presso KNIME

Roberto Cadili is a Data scientist on the Evangelism team at KNIME with a strong interest in machine learning algorithms and deep learning architectures for NLP and Computer Vision. As an editor for Low Code for Advanced Data Science, he is helping the KNIME community shape successful data science stories, tutorials, and best practices that are worth sharing.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!