Convolutional Neural Networks in TensorFlow
Completed by Alexander Shlyapin
November 9, 2019
16 hours (approximately)
Alexander Shlyapin'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: Fine-tuning
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Tensorflow
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Image Analysis
