Convolutional Neural Networks in TensorFlow
Completed by Pravin Borate
February 26, 2021
16 hours (approximately)
Pravin Borate'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: Deep Learning
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Tensorflow
- Category: Model Evaluation
- Category: Model Optimization
- Category: Fine-tuning
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Model Training
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
