Convolutional Neural Networks in TensorFlow
Completed by Sinyi Hsieh
April 13, 2020
16 hours (approximately)
Sinyi Hsieh'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: Computer Vision
- Category: Deep Learning
- Category: Data Preprocessing
- Category: Convolutional Neural Networks
- Category: Machine Learning
- Category: Image Analysis
- Category: Tensorflow
- Category: Transfer Learning
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Keras (Neural Network Library)
