Images as Light Projections
Exposing a sensor to a light – projects points that project to all the sensor – and so all locations on the sensor see light …
Exposing a sensor to a light – projects points that project to all the sensor – and so all locations on the sensor see light …
Definitions: Phoneme – Distinct sounds in a language Grapheme – Distinct unit written in a language Lexicon – Dictionary that maps phoneme to graph(i.e. Arpabet) …
CBOW learns to predict the word by the context window(+nt -nt words) around it by taking the max probability of the word that fits this …
Start by building a very simple network: import numpy as np class NeuralNetwork: def __init__(self, x,y): self.input = x self.y = y self.Weights1 = np.random.randn(self.input.shape[1],5) …
During inference, precision in floats is not needed and can be reduced to using 8 bits instead of 32 bits this allows to bin continuous …
After training we can optimize a frozen graph or even a dynamic graph by removes training-specific and debug-specific nodes, fusing common operations, and removes code …
In prediction/inference mode, variable types are unnecessary, so by freezing the graph we convert all variables in a graph and checkpoint into constants. Also there …
Hidden Markov Model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobservable (i.e. …
Hidden states are the unknowns we try to detect or predict. The Hidden states have a relationship amongst themselves called the transition probabilities. Observations are …
A Markov chain is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state …