Convolutional Neural Networks in TensorFlow
Completed by Cristian Eduardo Retamal Munoz
March 21, 2024
16 hours (approximately)
Cristian Eduardo Retamal Munoz'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: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Machine Learning
- Category: Model Training
- Category: Fine-tuning
- Category: Model Evaluation
- Category: Image Analysis
- Category: Data Preprocessing
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Classification Algorithms
