- Tensorflow
- Image Analysis
- Keras (Neural Network Library)
- Deep Learning
- Data Preprocessing
- Transfer Learning
- Convolutional Neural Networks
- Classification Algorithms
- Machine Learning
- Computer Vision
- Applied Machine Learning
- Model Evaluation
Convolutional Neural Networks in TensorFlow
Completed by Emre Can Kırtorun
September 11, 2020
16 hours (approximately)
Emre Can Kırtorun'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
