Convolutional Neural Networks in TensorFlow
Completed by Anil Ramachandran
November 22, 2019
16 hours (approximately)
Anil Ramachandran'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: Convolutional Neural Networks
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Tensorflow
- Category: Computer Vision
- Category: Deep Learning
- Category: Model Evaluation
- Category: Model Training
- Category: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Classification Algorithms
- Category: Applied Machine Learning
