Convolutional Neural Networks in TensorFlow
Completed by Chan Young Song
January 2, 2024
16 hours (approximately)
Chan Young Song'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: Classification Algorithms
- Category: Deep Learning
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Optimization
- Category: Machine Learning
- Category: Tensorflow
- Category: Computer Vision
