Convolutional Neural Networks in TensorFlow
Completed by Alper Berkin YAZICI
January 17, 2024
16 hours (approximately)
Alper Berkin YAZICI'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
- Category: Image Analysis
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Deep Learning
- Category: Fine-tuning
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Computer Vision
- Category: Model Optimization
- Category: Keras (Neural Network Library)
- Category: Convolutional Neural Networks
- Category: Tensorflow
