Convolutional Neural Networks in TensorFlow
Completed by Muhammad Bintang Ramadhan
October 15, 2024
16 hours (approximately)
Muhammad Bintang Ramadhan'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: Transfer Learning
- Category: Model Training
- Category: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Fine-tuning
- Category: Convolutional Neural Networks
- Category: Computer Vision
- Category: Classification Algorithms
- Category: Image Analysis
- Category: Data Preprocessing
- Category: Model Optimization
