Convolutional Neural Networks in TensorFlow
Completed by Benjamin Christopher Ratajesak
January 2, 2020
16 hours (approximately)
Benjamin Christopher Ratajesak'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: Deep Learning
- Category: Classification Algorithms
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
- Category: Machine Learning
- Category: Image Analysis
- Category: Model Training
