Convolutional Neural Networks in TensorFlow
Completed by Aman Priyanshu
December 2, 2019
16 hours (approximately)
Aman Priyanshu'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: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Data Preprocessing
- Category: Computer Vision
- Category: Model Optimization
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Classification Algorithms
