What is Caffe and TensorFlow?
TensorFlow is an open source python friendly software library for numerical computation which makes machine learning faster and easier using data-flow graphs.
Caffe is a deep learning framework for train and runs the neural network models and it is developed by the Berkeley Vision and Learning Center..
What is meant by deep learning?
Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. … Deep learning allows machines to solve complex problems even when using a data set that is very diverse, unstructured and inter-connected.
How do I use Caffe framework?
Then you can follow the steps below:Convert the jpg format as the Caffe framework of deep learning currently only supports certain formats.Set up the Caffe configuration files.Upload the Solver and Net files to OSS, drag and drop the Caffe component to the canvas, and connect the component to the data source.More items…•
What is TensorFlow deep learning?
Created by the Google Brain team, TensorFlow is an open source library for numerical computation and large-scale machine learning. TensorFlow bundles together a slew of machine learning and deep learning (aka neural networking) models and algorithms and makes them useful by way of a common metaphor.