Convolutional Neural Networks in TensorFlow
Completed by Jan de Wilde
May 16, 2019
16 hours (approximately)
Jan de Wilde'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: Image Analysis
- Category: Transfer Learning
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Fine-tuning
- Category: Tensorflow
- Category: Artificial Neural Networks
