Convolutional Neural Networks in TensorFlow
Completed by Juan Antonio Celaya
May 12, 2020
16 hours (approximately)
Juan Antonio Celaya'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: Applied Machine Learning
- Category: Model Optimization
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Transfer Learning
- Category: Convolutional Neural Networks
