Convolutional Neural Networks in TensorFlow
Completed by MANUEL HANIK
February 26, 2021
16 hours (approximately)
MANUEL HANIK'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: Fine-tuning
- Category: Data Preprocessing
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Convolutional Neural Networks
- Category: Model Evaluation
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: Machine Learning
- Category: Computer Vision
- Category: Transfer Learning
