Convolutional Neural Networks in TensorFlow
Completed by Mohammed Al Haek
November 27, 2019
16 hours (approximately)
Mohammed Al Haek'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: Data Preprocessing
- Category: Machine Learning
- Category: Fine-tuning
- Category: Applied Machine Learning
- Category: Model Optimization
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Image Analysis
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
