Convolutional Neural Networks in TensorFlow
Completed by Jakub Wiktor Hamerlik
February 23, 2024
16 hours (approximately)
Jakub Wiktor Hamerlik'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: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Deep Learning
- Category: Convolutional Neural Networks
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Model Optimization
- Category: Machine Learning
- Category: Artificial Neural Networks
