El curso "Deep Learning" ofrece una introducción práctica a las redes neuronales artificiales y su aplicación en diversas áreas como el reconocimiento de dígitos manuscritos, detección de cáncer y generación de texto. Utilizando TensorFlow y Keras, los participantes aprenderán a construir y entrenar modelos de redes neuronales, incluyendo CNN y RNN, a través de ejemplos y ejercicios prácticos.
Deep Learning: Del Concepto a la Práctica
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
88 hours to complete
3 weeks at 29 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Describir las técnicas de Deep Learning utilizando TensorFlow y Keras para resolver problemas de reconocimiento de patrones y generación de texto.
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Recently updated!
March 2025
Assessments
27 assignments
Taught in Spanish
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There are 4 modules in this course
En esta sección, los estudiantes serán introducidos al mundo del Deep Learning, comenzando con una explicación de las redes neuronales artificiales. Se explorarán los componentes y la estructura de las NN, y se realizará un primer proyecto práctico de programación para reconocer dígitos manuscritos.
What's included
13 videos1 reading11 assignments
Esta sección se centra en el uso de TensorFlow y Keras para la construcción y entrenamiento de redes neuronales. Los estudiantes aprenderán a implementar modelos para la detección de dígitos manuscritos y el diagnóstico de cáncer de mama, utilizando estas poderosas herramientas de Deep Learning
What's included
10 videos2 readings6 assignments
Explorarás las redes neuronales convolucionales (CNN), una técnica avanzada para el procesamiento de imágenes. Se desarrollarán proyectos prácticos para el reconocimiento de términos manuscritos y el lenguaje de señas, aprendiendo a guardar, cargar y compartir los modelos de redes neuronales.
What's included
14 videos1 reading8 assignments
Esta sección se dedica a las redes neuronales recurrentes (RNN) y las Long Short-Term Memory (LSTM), utilizadas principalmente para la generación de texto. Los contenidos de está sección te permitirán comprender cómo crear modelos que generen texto de manera coherente, practicando con ejemplos y ejercicios específicos.
What's included
8 videos3 readings2 assignments
Offered by
Recommended if you're interested in Data Analysis
Illinois Tech
DeepLearning.AI
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