Convolutional Neural Networks in TensorFlow
Completed by Pablo Andrés Lombana Zorro
September 3, 2020
16 hours (approximately)
Pablo Andrés Lombana Zorro'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: Deep Learning
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Machine Learning
- Category: Convolutional Neural Networks
- Category: Model Evaluation
- Category: Keras (Neural Network Library)
- Category: Transfer Learning
- Category: Tensorflow
- Category: Classification Algorithms
- Category: Computer Vision
