Convolutional Neural Networks in TensorFlow
Completed by 경무 김
October 18, 2021
16 hours (approximately)
경무 김'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: Artificial Neural Networks
- Category: Data Preprocessing
- Category: Computer Vision
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Model Training
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Model Optimization
- Category: Fine-tuning
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
