Need advice about which tool to choose?Ask the StackShare community!
Add tool
Manage your open source components, licenses, and vulnerabilities
Learn MorePros of TensorFlow
Pros of Wit.ai
Pros of TensorFlow
- High Performance32
- Connect Research and Production19
- Deep Flexibility16
- Auto-Differentiation12
- True Portability11
- Easy to use6
- High level abstraction5
- Powerful5
Pros of Wit.ai
- The interface to train is really easy4
- It´s free3
Sign up to add or upvote prosMake informed product decisions
Cons of TensorFlow
Cons of Wit.ai
Cons of TensorFlow
- Hard9
- Hard to debug6
- Documentation not very helpful2
Cons of Wit.ai
Be the first to leave a con
Sign up to add or upvote consMake informed product decisions
- No public GitHub repository available -
What is 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.
What is Wit.ai?
Iti is an API that makes it very easy for developers to create applications or devices that you can talk to.
Any app, or any device, like a smart watch, Google Glass, Nest, even a car, can stream audio to the Wit API, and get actionable data in return. We turn speech into actions.
Think Twilio for Natural Language, with Stripe-level developer friendliness.
Need advice about which tool to choose?Ask the StackShare community!
What companies use TensorFlow?
What companies use Wit.ai?
What companies use TensorFlow?
What companies use Wit.ai?
Manage your open source components, licenses, and vulnerabilities
Learn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with TensorFlow?
What tools integrate with Wit.ai?
What tools integrate with TensorFlow?
What tools integrate with Wit.ai?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+2 1
837
+11 6
7290
+14 12
2738
+4 5
3436
What are some alternatives to TensorFlow and Wit.ai?
Theano
Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).
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.
OpenCV
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.