Convolutional Neural Networks in TensorFlow
Completed by Vladimir Omar Barrón Briceño
February 18, 2024
16 hours (approximately)
Vladimir Omar Barrón Briceño'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: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Computer Vision
- Category: Machine Learning
- Category: Tensorflow
