- Keras (Neural Network Library)
- Data Preprocessing
- Convolutional Neural Networks
- Deep Learning
- Transfer Learning
- Machine Learning
- Tensorflow
- Applied Machine Learning
- Model Evaluation
- Classification Algorithms
- Image Analysis
- Computer Vision
Convolutional Neural Networks in TensorFlow
Completed by Daryna Panicheva
June 7, 2021
16 hours (approximately)
Daryna Panicheva'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
