- Tensorflow
- Convolutional Neural Network
- Transfer Learning
- Machine Learning
- Dropouts
- Data Augmentation
Convolutional Neural Networks in TensorFlow
Completed by Matias Jose Agelvis Dominguez
June 4, 2021
16 hours (approximately)
Matias Jose Agelvis Dominguez'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
