Convolutional Neural Networks in TensorFlow
Completed by Petrus Frumau
February 11, 2020
16 hours (approximately)
Petrus Frumau'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: Tensorflow
- Category: Classification Algorithms
- Category: Model Training
- Category: Data Preprocessing
- Category: Image Analysis
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Model Optimization
- Category: Computer Vision
- Category: Fine-tuning
