Convolutional Neural Networks in TensorFlow
Completed by Ridham P Dave
July 26, 2019
16 hours (approximately)
Ridham P Dave'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: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Model Optimization
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Deep Learning
