neural networks - Best calculus books for Deep Learning - Artificial ...
Mar 27, 2023 · Recommend some calculus books for Deep Learning and neural networks. I know what is integration, differentiation, derivates, limits on a based level. I would like to understand on deep …
What is the difference between search and learning?
0 One way to think of the difference between search and learning is that search usually entails a search key, and an algorithm hunts through the structure looking for a match between the key and an …
deep learning - How Come My (D)DQN Fails To Learn? - Artificial ...
Jan 19, 2022 · You can apply curriculum learning to make the environment less ambiguous during early training. The principle of this strategy is to provide easier training examples which do not require …
machine learning - How do we call the technique of increasing the ...
Dec 12, 2024 · 1 Your description fits the ML terminology called curriculum learning. curriculum learning is the technique of successively increasing the difficulty of examples in the training set that is …
Why use sin/cos to give periodicity in time series prediction
Aug 30, 2021 · Why use sin and cos (which map to a circle)? Specifically from the tutorial's point of view, this is the most usual piece of feature engineering applied to periodic input data. It offers the …
deep rl - What is curriculum learning in reinforcement learning ...
Apr 29, 2023 · Curriculum learning is a general technique for deep learning, which got recently applied to also deep reinforcement learning. It's about designing tasks to guide the learning process of the …
reinforcement learning - Is PPO a policy-based method or an actor ...
Jan 4, 2024 · Thanks for your answer Luca. So this means that there are also mixtures of the 3 basic RL algorithms (value-based methods, policy-based methods, and actor-critique-based methods)? I …
Is it possible to train deep learning agent to pass a multiple-choice ...
Is it possible to train an agent to take and pass a multiple-choice exam based on a digital version of a textbook for some area of study or curriculum? What would be involved in implementing this and how …
deep learning - Why should the number of neurons in a hidden layer …
15 I have read somewhere on the web (I lost the reference) that the number of units (or neurons) in a hidden layer should be a power of 2 because it helps the learning algorithm to converge faster. I …
What does stationary state distribution mean in reinforcement learning ...
Jun 4, 2023 · What does stationary state distribution mean in reinforcement learning? The context it is used is as below.