Convolutional Neural Networks in TensorFlow
Completed by Meng Kang
September 19, 2019
16 hours (approximately)
Meng Kang'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: Model Training
- Category: Tensorflow
- Category: Model Optimization
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Model Evaluation
- Category: Machine Learning
- Category: Convolutional Neural Networks
- Category: Data Preprocessing
- Category: Transfer Learning
