- Keras (Neural Network Library)
- Transfer Learning
- Machine Learning
- Model Evaluation
- Computer Vision
- Classification Algorithms
- Tensorflow
- Data Preprocessing
- Image Analysis
- Convolutional Neural Networks
- Deep Learning
- Applied Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by Nadya Tjindra
April 24, 2020
16 hours (approximately)
Nadya Tjindra'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
