Garantía de entrega
Artículo: AMZ-1806674777
Deep Learning Math Workbook: 300 puzzles to build your mathematical foundation for deep learning
Format:
Paperback
Detalles del producto
Disponibilidad
En stock
En stock
Peso con empaque
0.30 kg
0.30 kg
Devolución
Sí
Sí
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Internalize the math behind deep learning, from dot products and matrix multiplication to deep neural networks, with this comprehensive workbook by Prof. Tom Yeh featuring 300 original AI-by-Hand exercisesKey FeaturesLearn by doing with 300 bite-sized puzzles that convert math concepts into muscle memoryMaster the building blocks, including dot products, matrix multiplication, linear layers, activations, softmax, and gradientsDiscover clear, visual explanations designed for students, practitioners, and educatorsBook DescriptionDeep Learning Math Workbook is a practical, exercise-based guide to understanding the mathematics behind neural networks, written by Prof. Tom Yeh, creator of the global AI by Hand movement. Rather than relying solely on formulas or code, this workbook invites you to compute, visualize, and think through every step, like solving crossword puzzles that train your mathematical intuition.With the help of 300 original AI by Hand exercises, you’ll progress methodically from the basics to advanced deep learning concepts. Each chapter, Dot Product, Matrix Multiplication, Linear Layer, Activation, Artificial Neuron, Batch, Connection, Hidden Layer, Deep, Wide, Softmax, and Gradient, builds toward understanding how modern neural networks actually work.Even though most AI books skip the arithmetic, this workbook makes every computation explicit and intuitive. You’ll see and feel how each operation transforms data, helping you develop deep intuition for how learning happens inside the model.This is more than a math book, it’s an interactive learning experience that rewards persistence.What you will learnConnect hand calculations to the behavior of modern deep neural networksBreak down deep learning math into small, solvable puzzlesDiscover the meaning behind core operations, such as dot product, matrix multiplication, and normalizationSee how linear layers, activations, and loss functions fit togetherLink the math of simple neurons to modern deep networksDevelop true intuition for AI, not by memorizing formulas, but by reasoning step by stepWho this book is forThis book is for students and beginners looking to gain a solid foundation in AI and deep learning. Engineers and data scientists who want to strengthen their mathematical intuition, as well as educators and mentors teaching machine learning or neural networks will find this book useful. It is also beneficial for self-learners who prefer practical, visual, and step-by-step learning approaches.Table of ContentsDot ProductMatrix MultiplicationLinear LayerActivationArtificial NeuronBatchConnectionHidden LayerDeepWideSoftmaxGradient
$111,17
60% OFF
$44,47
IMPORT EASILY
By purchasing this product you can deduct VAT with your RUT number
$111,17
60% OFF
$44,47
3 meses de gracia en diferidos y hasta 6 meses sin intereses con Pacificard
Envío gratis
Llega en 5 a 12 días hábiles
Con envío
Tienes garantia de entrega
Este producto viaja
de USA ![]()
a tus manos en
![]()
a tus manos en
Compra protegida
Disfruta de una experiencia de compra segura y confiable
![]()
Garantía de entrega
Con Tiendamia todas tus compras cuentan con Garantía de Entrega o devolución total de tu dinero.
Compras 100% seguras y garantizadas, para que pidas lo que sueñas y lo recibas del mundo a tu puerta.
Tarjetas de Débito y Crédito
Visa
Mastercard
American Express
Dinners
Discover
Alias
Pagos a través de PayPal
Compra procesada en dólares con dinero en cuenta o tarjetas internacionales.
PayPal
.svg)
