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I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now… ...
TensorFlow can be thought of as a kind of artificial brain in which complex data structures, or ‘tensors’, flow through. Google says this process is a central aspect of deep learning, and can ...
ML for Hackers: Fiddle with that Tensor Flow This project’s execution is excellent, with a hexagon-shaped enclosure and PCBs stacked within. As everyone knows, hexagons are the bestagons.
The system moves from node to node to compile enough information to say that the image is, in fact, of a cat. That flow process is called a tensor, hence the name TensorFlow.
Think of a tensor as a multi-dimensional array. In TensorFlow, all data is represented as tensors, which are the primary data structures that are used to represent and manipulate data in TensorFlow.
These tensors flow through the graph of nodes, and that’s where the name TensorFlow comes from. Open-sourcing TensorFlow allows researchers and even grad students the opportunity to work with ...
Galvanize San Francisco: Intro to Deep Learning & Image Classification w/ Python, Keras, Tensorflow & AWS An introduction to deep learning and the associated Python libraries like Numpy ...
TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.
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