Convolutional Neural Networks in TensorFlow
Completed by Junting Ma
August 15, 2019
16 hours (approximately)
Junting Ma'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 Evaluation
- Category: Convolutional Neural Networks
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Deep Learning
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Model Training
- Category: Machine Learning
