CNNs with TensorFlow: Basics of Machine Learning
Completed by Aayush Adhikari
June 12, 2024
2 hours (approximately)
Aayush Adhikari's account is verified. Coursera certifies their successful completion of CNNs with TensorFlow: Basics of Machine Learning
What you will learn
Adapt the main components of neural networks: inputs, layers, weights, and activation functions according to the specific application.
Use TensorFlow and Keras to design, implement, and adapt convolutional neural networks for image recognition tasks.
Evaluate neural network models and measure their accuracy, modify the parameters of the model if needed to improve its accuracy.
Skills you will gain
- Category: Keras (Neural Network Library)
- Category: Plot (Graphics)
- Category: Model Training
- Category: Model Optimization
- Category: Python Programming
- Category: Matplotlib
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Image Analysis
- Category: Artificial Neural Networks
- Category: Adaptability
- Category: Deep Learning
