Convolutional Neural Networks in TensorFlow
Completed by Cheng Hao Ke
November 25, 2019
16 hours (approximately)
Cheng Hao Ke'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: Data Preprocessing
- Category: Image Analysis
- Category: Transfer Learning
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Artificial Neural Networks
- Category: Tensorflow
- Category: Fine-tuning
- Category: Machine Learning
- Category: Model Optimization
- Category: Convolutional Neural Networks
