Convolutional Neural Networks in TensorFlow
Completed by Alexander kent So
October 21, 2024
16 hours (approximately)
Alexander kent So'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: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Optimization
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Computer Vision
- Category: Classification Algorithms
