Convolutional Neural Networks in TensorFlow
Completed by timofei shchepkin
March 3, 2020
16 hours (approximately)
timofei shchepkin'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: Model Training
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Computer Vision
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Keras (Neural Network Library)
- Category: Machine Learning
- Category: Model Evaluation
