Convolutional Neural Networks in TensorFlow
Completed by Giacomo Rosa
February 20, 2024
16 hours (approximately)
Giacomo Rosa'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 Optimization
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Model Training
- Category: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Transfer Learning
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Image Analysis
