Convolutional Neural Networks in TensorFlow
Completed by Gonzalo Espinoza Lara
July 22, 2024
16 hours (approximately)
Gonzalo Espinoza Lara'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: Image Analysis
- Category: Transfer Learning
- Category: Fine-tuning
- Category: Model Training
- Category: Keras (Neural Network Library)
- Category: Data Preprocessing
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Classification Algorithms
