Convolutional Neural Networks in TensorFlow
Completed by Alexander Sevtsov
June 30, 2020
16 hours (approximately)
Alexander Sevtsov'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: Deep Learning
- Category: Model Optimization
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Machine Learning
- Category: Computer Vision
- Category: Keras (Neural Network Library)
- Category: Convolutional Neural Networks
