Useful tips for everyday
How do you reduce noise in a relay? Capacitor (C) acts to suppress the discharge the moment the contacts open. Resistor (R) acts to limit…
Is there a book written by AI? 1 the Road is an experimental novel composed by artificial intelligence (AI). Emulating Jack Kerouac’s On the Road,…
What is memory task? The Memory task was very similar to de Groot’s task: chess players saw a position for 5 seconds and then attempted…
How do you classify multi-class? Multi-class classification makes the assumption that each sample is assigned to one and only one label: a fruit can be…
What is an embedding feature? An embedding is a translation of a high-dimensional vector into a low-dimensional space. Ideally, an embedding captures some of the…
What is policy gradient in reinforcement learning? Policy gradient methods are a type of reinforcement learning techniques that rely upon optimizing parametrized policies with respect…
Which book is best for machine learning? 7 Great Books About Machine Learning (ML) For Beginners “Machine Learning For Absolute Beginners: A Plain English Introduction…
What is the disadvantage of using linear functions as activation functions for multilayer neural networks? Apart from that, the linear activation function has its set…
What is the purpose of self attention? In layman’s terms, the self-attention mechanism allows the inputs to interact with each other (“self”) and find out…
Which model is most prone to overfitting? Overfitting in Machine Learning The problem is that these concepts do not apply to new data and negatively…