Convolutional Neural Networks in TensorFlow
Completed by MAKSYM NIEDIELCHEV
June 4, 2019
16 hours (approximately)
MAKSYM NIEDIELCHEV'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 Evaluation
- Category: Classification Algorithms
- Category: Tensorflow
- Category: Image Analysis
- Category: Keras (Neural Network Library)
- Category: Computer Vision
- Category: Transfer Learning
- Category: Machine Learning
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Convolutional Neural Networks
