Convolutional Neural Networks in TensorFlow
Completed by Shounak Deshpande
May 18, 2024
16 hours (approximately)
Shounak Deshpande'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: Keras (Neural Network Library)
- Category: Data Preprocessing
- Category: Convolutional Neural Networks
- Category: Machine Learning
- Category: Tensorflow
- Category: Image Analysis
- Category: Classification Algorithms
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Computer Vision
- Category: Model Evaluation
- Category: Transfer Learning
