What JavaScript code is necessary to load and use the trained TensorFlow.js model in a web application, and how does it predict the paddle's movements based on the ball's position?
Saturday, 15 June 2024 by EITCA Academy
To load and use a trained TensorFlow.js model in a web application and predict the paddle's movements based on the ball's position, you need to follow several steps. These steps include exporting the trained model from Python, loading the model in JavaScript, and using it to make predictions. Below is a detailed explanation of each
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, Deep learning in the browser with TensorFlow.js, Training model in Python and loading into TensorFlow.js, Examination review
Tagged under: Artificial Intelligence, JavaScript, Machine Learning, Model Prediction, TensorFlow.js, Web Development
What are the steps involved in training and predicting with TensorFlow.js models?
Tuesday, 08 August 2023 by EITCA Academy
Training and predicting with TensorFlow.js models involves several steps that enable the development and deployment of deep learning models in the browser. This process encompasses data preparation, model creation, training, and prediction. In this answer, we will explore each of these steps in detail, providing a comprehensive explanation of the process. 1. Data Preparation: The
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, Deep learning in the browser with TensorFlow.js, Introduction, Examination review
Tagged under: Artificial Intelligence, Data Preparation, Deep Learning, Model Prediction, Model Training, TensorFlow.js