- Tensorflow
- Transfer Learning
- Classification Algorithms
- Computer Vision
- Applied Machine Learning
- Deep Learning
- Model Evaluation
- Data Preprocessing
- Machine Learning
- Convolutional Neural Networks
- Image Analysis
- Keras (Neural Network Library)
Convolutional Neural Networks in TensorFlow
Completed by Yazid Dhouioui
January 10, 2024
16 hours (approximately)
Yazid Dhouioui'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
