Convolutional Neural Networks in TensorFlow
Completed by Avishek Das
August 1, 2019
16 hours (approximately)
Avishek Das'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: Model Optimization
- Category: Fine-tuning
- Category: Transfer Learning
- Category: Image Analysis
- Category: Model Training
- Category: Deep Learning
- Category: Keras (Neural Network Library)
- Category: Model Evaluation
- Category: Tensorflow
- Category: Machine Learning
- Category: Computer Vision
