"Mathematics of Neural Networks" is a concise introductory text that presents deep learning from a mathematical perspective.
It progressively introduces the fundamental concepts behind modern neural networks, including supervised learning, artificial neurons and activation functions, feed-forward networks, stochastic gradient descent, deep neural networks, weight initialization, convolutional neural networks, automatic differentiation and backpropagation, optimization algorithms such as Adam, RMSProp, and Adagrad, as well as an introduction to equivariance, Lie groups, homogeneous spaces, and geometric deep learning.
It is a practical, accessible resource for students and anyone who wants to build a solid mathematical foundation in neural networks before moving on to more advanced texts. Although introductory, it maintains a rigorous approach and provides valuable insight into the mathematical principles underlying modern deep learning systems.
https://t.co/IpWzlJzfQW
Odio que los sentimientos interfieran en mi cognición diaria, como deseo terminar la teoría de la información de Shannon pero al final siempre regresas tú, en toda su extensión de mi experiencia... Déjame, te lo pido...
Una de las obras más interesantes de Stein, que es una de las grandes filósofas del s. XX y que no se le ha dado ni la importancia ni la relevancia a su obra y pensamiento (sistema novedoso que dialoga con el mundo actual).
Lean a Stein. Requiere tiempo y esfuerzo, pero compensa.
"Algebra 2" is another completely free textbook that covers a large portion of algebra at both the pre-university and early university levels.
With more than 1,100 pages and a large collection of worked examples, practice problems, and exercises, it covers linear equations, quadratic equations, polynomial equations, rational equations, radical equations, exponential and logarithmic equations, systems of equations, inequalities, and many of the fundamental concepts that form the backbone of algebra.
In my opinion, it is one of the most comprehensive free resources available for studying the theory of equations and the algebraic methods typically encountered in the first years of university.
https://t.co/Xf3qbA3hQO
@liliannosorio La respuesta sea quizá la siguiente: ver en otro Ser la profundidad con la que nuestro anhelo se corresponde en ese preciso momento en el que otro Ser nos ve como cree que somos de verdad, ese solo esfuerzo, es el inicio del enamoramiento