Convolutional Neural Networks in TensorFlow
Completed by Pang Ming Quan
May 29, 2020
16 hours (approximately)
Pang Ming Quan'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: Fine-tuning
- Category: Data Preprocessing
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Applied Machine Learning
- Category: Transfer Learning
- Category: Model Optimization
- Category: Deep Learning
- Category: Machine Learning
- Category: Tensorflow
