Convolutional Neural Networks in TensorFlow
Completed by Mohamed Amine Bouslimi
January 18, 2020
16 hours (approximately)
Mohamed Amine Bouslimi'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: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Transfer Learning
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Machine Learning
- Category: Model Optimization
