Convolutional Neural Networks in TensorFlow
Completed by 江穎 郭
March 28, 2024
16 hours (approximately)
江穎 郭'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: Classification Algorithms
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Computer Vision
- Category: Model Optimization
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Convolutional Neural Networks
- Category: Image Analysis
