Convolutional Neural Networks in TensorFlow
Completed by Vinicius Dorneles Paz Roesler
August 20, 2024
16 hours (approximately)
Vinicius Dorneles Paz Roesler'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: Tensorflow
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Machine Learning
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Image Analysis
