Convolutional Neural Networks in TensorFlow
Completed by Haozheng Du
January 23, 2020
16 hours (approximately)
Haozheng Du'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: Convolutional Neural Networks
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Tensorflow
- Category: Computer Vision
- Category: Deep Learning
- Category: Model Evaluation
- Category: Model Training
- Category: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Classification Algorithms
- Category: Applied Machine Learning
