Convolutional Neural Networks in TensorFlow
Completed by Motonari Ito
February 24, 2020
16 hours (approximately)
Motonari Ito'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: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Machine Learning
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Tensorflow
- Category: Computer Vision
- Category: Model Training
