Convolutional Neural Networks in TensorFlow
Completed by Pavitra Aritas R
February 28, 2020
16 hours (approximately)
Pavitra Aritas R'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: Model Optimization
- Category: Model Evaluation
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Keras (Neural Network Library)
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Computer Vision
- Category: Machine Learning
- Category: Tensorflow
