Convolutional Neural Networks in TensorFlow
Completed by Paras Dwivedi
August 29, 2020
16 hours (approximately)
Paras Dwivedi'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: Applied Machine Learning
- Category: Machine Learning
- Category: Convolutional Neural Networks
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Transfer Learning
- Category: Computer Vision
- Category: Classification Algorithms
- Category: Image Analysis
- Category: Model Training
