Convolutional Neural Networks in TensorFlow
Completed by Abhishek Vilas Potnis
January 14, 2020
16 hours (approximately)
Abhishek Vilas Potnis'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: Applied Machine Learning
- Category: Keras (Neural Network Library)
- Category: Model Training
- Category: Model Evaluation
- Category: Computer Vision
- Category: Machine Learning
- Category: Fine-tuning
- Category: Image Analysis
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Classification Algorithms
- Category: Transfer Learning
