Convolutional Neural Networks in TensorFlow
Completed by YANG LU
March 18, 2020
16 hours (approximately)
YANG LU'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: Deep Learning
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Tensorflow
- Category: Fine-tuning
- Category: Applied Machine Learning
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
