Convolutional Neural Networks in TensorFlow
Completed by QI MING YE
October 22, 2019
16 hours (approximately)
QI MING YE'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: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Optimization
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Tensorflow
- Category: Convolutional Neural Networks
