Convolutional Neural Networks in TensorFlow
Completed by Jimmy Remy
June 2, 2019
16 hours (approximately)
Jimmy Remy'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: Keras (Neural Network Library)
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Image Analysis
