Convolutional Neural Networks in TensorFlow
Completed by Riccardo Santarossa
March 19, 2024
16 hours (approximately)
Riccardo Santarossa's account is verified. Coursera certifies their successful completion of Convolutional Neural Networks in TensorFlow
What you will learn
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Skills you will gain
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Model Optimization
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Computer Vision
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Convolutional Neural Networks
- Category: Image Analysis
