What is Tensorpack?
It is a Neural Net Training Interface on TensorFlow, with focus on speed + flexibility. It is a training interface based on TensorFlow, which means: you’ll use mostly tensorpack high-level APIs to do training, rather than TensorFlow low-level APIs.
Tensorpack is a tool in the Development & Training Tools category of a tech stack.
Key Features
Training interface based on TensorFlowFocus on training speedFocus on large datasets
Tensorpack Pros & Cons
Pros of Tensorpack
No pros listed yet.
Cons of Tensorpack
No cons listed yet.
Tensorpack Alternatives & Comparisons
What are some alternatives to Tensorpack?
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.
