I invented a Mathematical Neuron model Y = Hz (Σ (weight * input) + bias) Activation of the layers in the frequencies of 8hz, 6hz and 4hz. Objective here is to enable "scalar learning" or SLM. With the reduction of the gradient, we obtain exponential transformation of the data, we can even make the matrix inversion diagonally and work with a sphere of the data volume. Deep Learning in exponential growth!
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This quantum world opens up a new computing paradigm.
Avaliado no Brasil em 8 de dezembro de 2022
An intersection of physics and computing, quantum computing promises the science behind quantum mechanics, the three fundamental principles behind quantum computers:
1) Superposition.
2) Quantum measurement.
3) Entanglement.
Only high school physics can bridge the gap between scientific articles and advanced textbooks, making key ideas accessible.
Each unit is divided into sections labeled by level of difficulty, allowing the course to be adapted to the reader's level of thinking.
Multi-level simulation-based problem sets reinforce concepts, whether about business, finance or industry a useful primer on the science of the future. #2
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