- Level Intermediate
- Duration 2 hours
- Course by Coursera Project Network
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Offered by
About
Este proyecto es un curso práctico y efectivo para aprender Deep Learning con ejercicios aplicados. Aprenderás desde cero los fundamentos del Deep Learning. Después irás aprendiendo a desarrollar redes neuronales con Python y Keras a través de ejercicios prácticos. Gracias a este curso aprenderás a programar tus propios modelos de Deep Learning. Gracias a esto podrás predecir si un cliente comprará o no un producto, el precio de la vivienda, etc.Modules
Aplicación práctica a través de Rhyme
1
Assignment
- Curso Completo de Deep Learning
1
Labs
- Curso Completo de Deep Learning
2
Readings
- Descripción general del curso basado en un proyecto
- Lectura Previa de conceptos clave del Deep Learning
Auto Summary
Embark on a comprehensive journey into the world of Deep Learning with this engaging course designed for aspiring data scientists and AI enthusiasts. This intermediate-level program, offered by Coursera, delves into the fundamentals of Deep Learning and progresses to advanced concepts, focusing on practical applications. Learners will gain hands-on experience by developing neural networks using Python and Keras, enabling them to create predictive models for various real-world scenarios, such as customer purchase behavior and housing price estimation. Under the expert guidance provided in this course, participants will build a solid foundation in Deep Learning from the ground up. The course spans 120 hours of immersive content, ensuring a thorough understanding of the subject matter. Moreover, this valuable learning opportunity is available for free, making it accessible to anyone eager to enhance their skills in Data Science and AI. Ideal for those with some prior knowledge in data science, this course is perfect for intermediate learners seeking to deepen their expertise and apply their skills to practical problems. Join now and start programming your own Deep Learning models to solve complex challenges and predict future outcomes with confidence.

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