Convolutional Neural Networks in TensorFlow
Completed by Suhas Vikas Gore
February 25, 2020
16 hours (approximately)
Suhas Vikas Gore'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: Machine Learning
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Model Optimization
- Category: Convolutional Neural Networks
- Category: Image Analysis
