Convolutional Neural Networks in TensorFlow
Completed by Ekaterina Selezneva
April 15, 2024
16 hours (approximately)
Ekaterina Selezneva'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: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Computer Vision
- Category: Tensorflow
- Category: Machine Learning
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Keras (Neural Network Library)
