Convolutional Neural Networks in TensorFlow
Completed by Ignatius Gilbert Wicaksana
November 8, 2024
16 hours (approximately)
Ignatius Gilbert Wicaksana'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 Training
- Category: Computer Vision
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Image Analysis
