Convolutional Neural Networks in TensorFlow
Completed by Landon Wilkins
March 29, 2024
16 hours (approximately)
Landon Wilkins'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: Fine-tuning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Model Optimization
- Category: Image Analysis
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Computer Vision
- Category: Transfer Learning
- Category: Machine Learning
