How can you convert a trained Keras model into a format that is compatible with TensorFlow.js for browser deployment?
Saturday, 15 June 2024 by EITCA Academy
To convert a trained Keras model into a format that is compatible with TensorFlow.js for browser deployment, one must follow a series of methodical steps that transform the model from its original Python-based environment into a JavaScript-friendly format. This process involves using specific tools and libraries provided by TensorFlow.js to ensure the model can be
- 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, Deep Learning, Keras, Model Conversion, TensorFlow.js, Web Deployment
What are the main steps involved in training a deep learning model in Python and deploying it in TensorFlow.js for use in a web application?
Saturday, 15 June 2024 by EITCA Academy
Training a deep learning model in Python and deploying it in TensorFlow.js for use in a web application involves several methodical steps. This process combines the robust capabilities of Python-based deep learning frameworks with the flexibility and accessibility of JavaScript for web deployment. The steps can be broadly categorized into two phases: model training and
- 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, Deep Learning, Model Training, TensorFlow, TensorFlow.js, Web Deployment