- Applied Machine Learning
- Machine Learning
- Keras (Neural Network Library)
- Tensorflow
- Image Analysis
- Transfer Learning
- Deep Learning
- Classification Algorithms
- Convolutional Neural Networks
- Data Preprocessing
- Computer Vision
- Model Evaluation
Convolutional Neural Networks in TensorFlow
Completed by Ryan Joshua Liwag
August 2, 2020
16 hours (approximately)
Ryan Joshua Liwag'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
