Convolutional Neural Networks in TensorFlow
Completed by Thomas Huang
March 30, 2020
16 hours (approximately)
Thomas Huang'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: Image Analysis
- Category: Keras (Neural Network Library)
- Category: Computer Vision
- Category: Model Optimization
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Model Training
- Category: Tensorflow
- Category: Data Preprocessing
- Category: Classification Algorithms
- Category: Deep Learning