Difference between revisions of "TensorFlow"
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| + | ; Tensor operations | ||
| + | * Addition and subtraction | ||
| + | * Multiplication and Division | ||
| + | * Matrix multiplication | ||
| + | * Dot product | ||
| + | * Transpose | ||
| + | [1 2 3 4 ] [1 5 9 ]T | ||
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| + | [9 10 11 12] |3 7 11| | ||
| + | [4 8 12] | ||
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| + | ; TensorFlow building blocks | ||
| + | * Lower level | ||
| + | ** Tensors | ||
| + | ** Operations | ||
| + | ** Graphs and sessions | ||
| + | * Higher level | ||
| + | ** Loss functions | ||
| + | ** Optimizers | ||
| + | ** Layers | ||
| + | ** Estimators | ||
==References== | ==References== | ||
Revision as of 23:21, 29 April 2018
TensorFlow is an open-source software library for dataflow programming across a range of tasks. It is a symbolic math library, and is also used for machine learning applications such as neural networks.[1]
Introduction
- Tensors
- N-dimensional arrays
- Measured by "rank"
- All elements are same datatype
# Rank 0: [1] # Rank 1: [1][2][3] # Rank 2: [1][2][3] [4][5][6] # Rank 3 (3D): [1][2][3] [4][5][6] [7][8][9]
- Tensor operations
- Addition and subtraction
- Multiplication and Division
- Matrix multiplication
- Dot product
- Transpose
[1 2 3 4 ] [1 5 9 ]T
|5 6 7 8 | = |2 6 10|
[9 10 11 12] |3 7 11|
[4 8 12]
- TensorFlow building blocks
- Lower level
- Tensors
- Operations
- Graphs and sessions
- Higher level
- Loss functions
- Optimizers
- Layers
- Estimators
References
- ↑ "TensorFlow: Open source machine learning" "It is machine learning software being used for various kinds of perceptual and language understanding tasks" — Jeffrey Dean, minute 0:47 / 2:17 from Youtube clip
