Convolutional Neural Networks in TensorFlow
Completed by Christian Kuster Erichsen
October 26, 2020
16 hours (approximately)
Christian Kuster Erichsen'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: Model Optimization
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Computer Vision
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Classification Algorithms
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Tensorflow
- Category: Model Training
