Convolutional Neural Networks in TensorFlow
Completed by Dolly Bonde
August 13, 2019
16 hours (approximately)
Dolly Bonde'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: Applied Machine Learning
- Category: Model Evaluation
- Category: Model Optimization
- Category: Keras (Neural Network Library)
- Category: Computer Vision
- Category: Fine-tuning
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Tensorflow
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Transfer Learning
