Bias. Bias measures how well a trained (on training dataset) algorithm can generalize on unseen data. High bias (underfitting) meaning the model cannot work well on unseen data. Variance. Variance measures the sensitivity of the model to changes in the dataset. High variance is the overfitting...
Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later. We will go into greater details for each step, of course, but the most difficult part is the GAN: very tricky part of successfully training a GAN is getting the ...
Peak Signal-to-Noise Ratio or PSNR is an objective metric that measures the degree of signal distortion between a haze-free image obtained by a dehazing algorithm and the ground truth image. Mathematically it is defined by the following, where “DH” represents the dehazed image obtained from ...
Uh, if something is controversial or not necessarily based on fact, there will be a community note banner that appears. And I don't know how their algorithm kind of determines when that happens, but it's not moderated. It's just kind of notified, if you will. So the, each user can ...
When should you use SVM? SVM can be usedfor classification (distinguishing between several groups or classes)and regression (obtaining a mathematical model to predict something). They can be applied to both linear and non linear problems. Until 2006 they were the best general purpose algorithm for...
ie we have to throw away all these samples and collect new ones as soon as we run a single backward gradient update. PPO is, for example, a model-free on-policy state-of-the-art algorithm. All this means that we have to interact with the environment a lot (like millions of steps) ...
Shor's Algorithm-c-p-g-+ : Grover's Algorithm-c-p-g-+ : Bell's Theorem-c-p-g-+ : IonQ-c-p-g-+ : D-Wave-c-p-g-+ : Rigetti-c-p-g-+ : BLOCKCHAIN-c-p-g are GenAI options: Cryptocurrency-c-p-g-+ : Bitcoin-c-p-g-+ : Ethereum-c-p-g-+ : Blockchain-c-p-g-...
Shor's Algorithm-c-p-g-+ : Grover's Algorithm-c-p-g-+ : Bell's Theorem-c-p-g-+ : IonQ-c-p-g-+ : D-Wave-c-p-g-+ : Rigetti-c-p-g-+ : BLOCKCHAIN-c-p-g are GenAI options: Cryptocurrency-c-p-g-+ : Bitcoin-c-p-g-+ : Ethereum-c-p-g-+ : Blockchain-c-p-g-...
Shor's Algorithm-c-p-g-+ : Grover's Algorithm-c-p-g-+ : Bell's Theorem-c-p-g-+ : IonQ-c-p-g-+ : D-Wave-c-p-g-+ : Rigetti-c-p-g-+ : BLOCKCHAIN-c-p-g are GenAI options: Cryptocurrency-c-p-g-+ : Bitcoin-c-p-g-+ : Ethereum-c-p-g-+ : Blockchain-c-p-g-...
For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN...