Module
6
|
40
mins
Foundations of Neural Networks and Deep Learning
Prof. Paolo Tasca
The module is taught by Prof. Paolo Tasca, digital economist, Co-founder and Executive Chairman of Exponential Science and experienced blockchain entrepreneur and advisor to global institutions, including the United Nations and central banks.
Prof. Nikhil Vadgama
This module is taught by Prof. Nikhil Vadgama, Programme Director of the MSc Financial Technology at UCL and Director of Exponential Science, with extensive experience in fintech and collaborating with governments, industry, and central banks worldwide.
- Neural networks are models inspired by the human brain, built from simple units called neurons.
- Neural networks process inputs numerically, detect patterns and produce meaningful outputs.
- Artificial neurons adjust weights to learn which inputs matter most.
- Layers allow networks to combine simple features into complex patterns.
- Deep networks use multiple hidden layers to extract high-level representations.
- Training uses backpropagation and gradient descent to refine predictions.
- Neural networks power chatbots, recommendation systems, image generation, self-driving cars and more.
- Responsible development requires scientific curiosity, ethical awareness and careful use.
Published:
12 Aug 2024
Created:
13 Aug 2025
Edited:
12 Aug 2024
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Module 4
Introduction to Hedera
Module 5
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Module 6
Foundations of Neural Networks and Deep Learning
