Convolutional Neural Networks in TensorFlow
Completed by Pierre-Henry Baudin
October 4, 2019
16 hours (approximately)
Pierre-Henry Baudin'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: Model Training
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Computer Vision
- Category: Tensorflow
- Category: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Classification Algorithms
