Convolutional Neural Networks in TensorFlow
Completed by Cristian Molina
May 4, 2020
16 hours (approximately)
Cristian Molina'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: Model Optimization
- Category: Applied Machine Learning
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Computer Vision
- Category: Model Training
