Convolutional Neural Networks in TensorFlow
Completed by Danil Arabadzhy
August 6, 2024
16 hours (approximately)
Danil Arabadzhy'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 Evaluation
- Category: Fine-tuning
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Computer Vision
- Category: Data Preprocessing
- Category: Model Optimization
- Category: Machine Learning
- Category: Tensorflow
- Category: Deep Learning
- Category: Classification Algorithms
