Tensorflow LiteWhat is Tensorflow Lite?
It is a set of tools to help developers run TensorFlow models on mobile, embedded, and IoT devices. It enables on-device machine learning inference with low latency and a small binary size.
Tensorflow Lite is a tool in the Development & Training Tools category of a tech stack.
Key Features
Lightweight solution for mobile and embedded devicesEnables low-latency inference of on-device machine learning models with a small binary sizeFast performance
Tensorflow Lite Pros & Cons
Pros of Tensorflow Lite
- ✓.tflite conversion
Cons of Tensorflow Lite
No cons listed yet.
Tensorflow Lite Alternatives & Comparisons
What are some alternatives to Tensorflow Lite?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
