- Classification Algorithms
- Data Preprocessing
- Model Evaluation
- Transfer Learning
- Machine Learning
- Tensorflow
- Keras (Neural Network Library)
- Image Analysis
- Computer Vision
- Deep Learning
- Applied Machine Learning
- Convolutional Neural Networks
Convolutional Neural Networks in TensorFlow
Completed by Anas Ibrahim
December 30, 2020
16 hours (approximately)
Anas Ibrahim'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
