The author explains what is a perceptron with two layers and the backpropagation method to train the network. It is included a program in python.
The author explain how to calculate the centroid of a triangle, and how to extend it to an irregular polygon. It is included the program to do it using python language.
This book teaches you how to quantify the uncertainty of machine learning models with conformal prediction in Python.
El autor explica las teorias de zegalkin y como ciertas operaciones matriciales permiten simplificar funciones lógicas. Presenta el código en Python para esta forma de solución.
L'auteur explique la procédure de calcul de l'aire d'un polygone irrégulier et montre le code Python qui permet de le faire.
З цієї книги почнеться Твоя подорож у світ програмування. Вона представляє знання практично, доступно та зрозуміло. Допомагає сформувати солідну основу для подальшого вивчення Python та обрати цікаву сферу застосування. Якщо Ти хочеш навчитися програмувати або зрозуміти, що таке програмування, ця книжка — для Тебе.
The author explain a method to calculate areas using triangles and convertion of coordinates. Include a program in python to evaluate it.
En este trabajo se muestran las bases del entranamiento de una red perceptrón multicapas, aplicado al caso de una red que hace las veces de una función exor. Se ha usado programación en Python.
Este trabajo incluye explicaciones sobre el calculo de centroide en poligonos irregulares y el código en Python para su cálculo. Es necesario conocer sobre estática y programación
The book contains the full transcript of Software Diagnostics Services training with 10 hands-on exercises on various topics related to Windows API.
Multitasking with Micropython. Cooperative Scheduling.
The book contains the full transcript of Software Diagnostics Services training with 25 hands-on exercises. This training course extends pattern-oriented analysis introduced in Accelerated Windows Memory Dump Analysis, Accelerated .NET Core Memory Dump Analysis, and Advanced Windows Memory Dump Analysis with Data Structures.
Build deep learning applications with Keras and TensorFlow
The book contains supplementary materials for teachers using the free textbook "Python for Everybody: Exploring Data in Python 3", which are solutions to programming exercises from the textbook and online programming tasks. The book is aimed for those using the above-mentioned textbook to teach Python.