Convolutional Neural Networks in TensorFlow
Completed by Seoyoung OH
January 17, 2021
16 hours (approximately)
Seoyoung OH'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: Machine Learning
- Category: Classification Algorithms
- Category: Convolutional Neural Networks
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Computer Vision
- Category: Model Evaluation
- Category: Image Analysis
- Category: Transfer Learning
- Category: Tensorflow
- Category: Keras (Neural Network Library)
