- Tensorflow
- Machine Learning
- Keras (Neural Network Library)
- Computer Vision
- Data Preprocessing
- Image Analysis
- Convolutional Neural Networks
- Deep Learning
- Model Evaluation
- Transfer Learning
- Classification Algorithms
- Applied Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by Andreas Nazlidis
October 13, 2021
16 hours (approximately)
Andreas Nazlidis'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
