Explore the distinctions between the Badhanau attention and self-attention mechanisms.
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Baeldung Author
Thomas Carr
Thomas Carr is a data-scientist with 7years experience in machine learning and artificial intelligence. He holds a BSc from University College Cork, an MSc from the University of Edinburgh and a PhD from Aston University. His PhD work focused on deep reinforcement learning and domain adaptation in that context. This work further explores generalisation and extrapolation arising from domain adaptation. He has also worked across a range of other modelling problems and has worked with tree based methods, deep visual recommender systems and large language models.
Here's what I've written (so far):
Baeldung on Computer Science
- All
- Deep Learning (5)
- Machine Learning (4)
- Artificial Intelligence (1)
- Algorithms (1)
GELU Explained
Filed under Deep Learning, Machine Learning
Learn what distinguishies GELU from other activation functions we use in neural networks.
Saturating Non-Linearities
Filed under Deep Learning, Machine Learning
Explore non-linearities – a key component of neural networks.
Introduction to AI Ethics
Filed under Artificial Intelligence
Explore many practical and theoretical considerations when dealing with AI ethics.
Deterministic vs. Stochastic Policies in Reinforcement Learning
Filed under Deep Learning
Explore a deterministic policy that maps each state to a single action and a stochastic policy that maps each state to a probability distribution over actions.
Epoch or Episode: Understanding Terms in Deep Reinforcement Learning
Filed under Deep Learning
Learn the difference between episodes and epochs.
Slime Mould Algorithm
Filed under Algorithms
Explore Slime Mould Algorithm.
Maximum Likelihood Estimation
Filed under Machine Learning
Learn about maximum likelihood estimation.