Deep Learning with Keras and Practical Applications
Completed by Samuel Derous
March 24, 2026
9 hours (approximately)
Samuel Derous's account is verified. Coursera certifies their successful completion of Deep Learning with Keras and Practical Applications
What you will learn
Identify the key features and functions of the Keras deep learning library
Explain the process and importance of exploratory data analysis (EDA) and data visualization
Distinguish between different types of Convolutional Neural Networks (CNNs) and their applications in image classification
Develop and deploy optimized deep learning models using cloud-based resources
Skills you will gain
- Category: Deep Learning
- Category: Data Analysis
- Category: Data Preprocessing
- Category: Artificial Neural Networks
- Category: Keras (Neural Network Library)
- Category: Computer Vision
- Category: Application Deployment
- Category: Data Processing
- Category: Transfer Learning
- Category: Model Training
- Category: Predictive Modeling
- Category: Applied Machine Learning
