Convolutional Neural Networks in TensorFlow
Completed by Guillermo Faus Roche
May 2, 2024
16 hours (approximately)
Guillermo Faus Roche'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: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Model Optimization
- Category: Model Training
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Fine-tuning
