Convolutional Neural Networks in TensorFlow
Completed by David Jones
November 1, 2019
16 hours (approximately)
David Jones'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: Machine Learning
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Tensorflow
- Category: Model Training
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Model Optimization
- Category: Keras (Neural Network Library)
