PyTroch — a promising framework for DL
Outline
_(4) Conclusion
_(5) Reference
pytorch deep-learning machine-learning neural-networks tensorflow
This chapter continues the series on Bayesian deep learning. In the chapter we’ll explore alternative solutions to conventional dense neural networks.
This full course introduces the concept of client-side artificial neural networks. We will learn how to deploy and run models along with full deep learning applications in the browser! To implement this cool capability, we’ll be using TensorFlow.js (TFJS), TensorFlow’s JavaScript library.
Training Neural Networks for price prediction with TensorFlow: Learn how to make your DNN more efficient in solving regression problems: a practical guide with TensorFlow and Keras.
Learn Machine Learning with Python using neural networks with this machine learning beginners course. In this tutorial we will look at taking an existing sol...
A practical and hands-on example to know how to use transfer learning using TensorFlow. We will learn how to use transfer learning for a classification task.