- Classification Algorithms
- Image Analysis
- Machine Learning
- Deep Learning
- Data Preprocessing
- Tensorflow
- Convolutional Neural Networks
- Transfer Learning
- Computer Vision
- Keras (Neural Network Library)
- Model Evaluation
- Applied Machine Learning
Convolutional Neural Networks in TensorFlow
Completed by Mecdettin El Emin
June 29, 2024
16 hours (approximately)
Mecdettin El Emin'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
