Convolutional Neural Networks in TensorFlow
Completed by Rafly Amanta Haryanto
November 2, 2024
16 hours (approximately)
Rafly Amanta Haryanto'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 Optimization
- Category: Fine-tuning
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Keras (Neural Network Library)
- Category: Model Training
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Machine Learning
- Category: Tensorflow
- Category: Deep Learning
