Convolutional Neural Networks in TensorFlow
Completed by Alexander Wick
March 6, 2022
16 hours (approximately)
Alexander Wick'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: Tensorflow
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Computer Vision
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Machine Learning
- Category: Transfer Learning
- Category: Convolutional Neural Networks
