Convolutional Neural Networks in TensorFlow
Completed by 琛 徐
February 20, 2020
16 hours (approximately)
琛 徐'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: Data Preprocessing
- Category: Machine Learning
- Category: Fine-tuning
- Category: Applied Machine Learning
- Category: Model Optimization
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Image Analysis
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
