Certificate in Deep Learning for Public Health Essentials
-- viendo ahoraThe Certificate in Deep Learning for Public Health Essentials is a comprehensive course that empowers learners with the essential skills needed to apply deep learning techniques in public health. This program is vital in today's world, where data-driven decision-making is critical in healthcare.
4.354+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
Acerca de este curso
HundredPercentOnline
LearnFromAnywhere
ShareableCertificate
AddToLinkedIn
TwoMonthsToComplete
AtTwoThreeHoursAWeek
StartAnytime
Sin período de espera
Detalles del Curso
• Introduction to Deep Learning: Understanding the basics of deep learning, including its history, key concepts, and differences from traditional machine learning.
• Neural Networks: Learning about artificial neural networks, including feedforward and recurrent neural networks, and their applications in public health.
• Convolutional Neural Networks (CNNs): Exploring CNNs, their architecture, and their applications in image recognition and public health.
• Deep Learning Frameworks: Getting hands-on experience with popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for public health applications.
• Natural Language Processing (NLP) with Deep Learning: Understanding NLP and its applications in public health, and learning how to implement NLP techniques using deep learning.
• Transfer Learning and Pre-trained Models: Learning about transfer learning, fine-tuning, and using pre-trained models for public health applications.
• Evaluation Metrics for Deep Learning Models: Understanding the key evaluation metrics for deep learning models, including accuracy, precision, recall, and F1 score, and how to use them to compare models.
• Data Augmentation Techniques for Deep Learning: Learning about data augmentation techniques, such as rotation, flipping, and zooming, and how to use them to improve model performance and generalization.
• Ethics in Deep Learning for Public Health: Exploring the ethical considerations of using deep learning in public health, including data privacy, bias, and fairness.
Note: The above list of units is not exhaustive and may vary depending on the specific course content and objectives.
Trayectoria Profesional
Requisitos de Entrada
- Comprensión básica de la materia
- Competencia en idioma inglés
- Acceso a computadora e internet
- Habilidades básicas de computadora
- Dedicación para completar el curso
No se requieren calificaciones formales previas. El curso está diseñado para la accesibilidad.
Estado del Curso
Este curso proporciona conocimientos y habilidades prácticas para el desarrollo profesional. Es:
- No acreditado por un organismo reconocido
- No regulado por una institución autorizada
- Complementario a las calificaciones formales
Recibirás un certificado de finalización al completar exitosamente el curso.
Por qué la gente nos elige para su carrera
Cargando reseñas...
Preguntas Frecuentes
Tarifa del curso
- 3-4 horas por semana
- Entrega temprana del certificado
- Inscripción abierta - comienza cuando quieras
- 2-3 horas por semana
- Entrega regular del certificado
- Inscripción abierta - comienza cuando quieras
- Acceso completo al curso
- Certificado digital
- Materiales del curso
Obtener información del curso
Obtener un certificado de carrera
