Convolutional Neural Networks in TensorFlow
Completed by Christopher Bryan Kramer
November 29, 2020
16 hours (approximately)
Christopher Bryan Kramer'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: Classification Algorithms
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Machine Learning
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Computer Vision
- Category: Tensorflow
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Model Evaluation
- Category: Transfer Learning
