- Convolutional Neural Networks
- Model Evaluation
- Tensorflow
- Deep Learning
- Machine Learning
- Computer Vision
- Classification Algorithms
- Image Analysis
- Keras (Neural Network Library)
- Applied Machine Learning
- Data Preprocessing
- Transfer Learning
Convolutional Neural Networks in TensorFlow
Completed by Johana Marku
March 24, 2021
16 hours (approximately)
Johana Marku'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
