Convolutional Neural Networks in TensorFlow
Completed by Christopher Manzer
August 26, 2019
16 hours (approximately)
Christopher Manzer'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: Fine-tuning
- Category: Model Training
- Category: Deep Learning
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Transfer Learning
- Category: Data Preprocessing
- Category: Artificial Neural Networks
