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Update documentation (#319)
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Robert Muchsel authored Nov 13, 2023
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2 changes: 1 addition & 1 deletion .gitignore
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6 changes: 3 additions & 3 deletions README.md
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# ADI MAX78000/MAX78002 Model Training and Synthesis

October 25, 2023
November 13, 2023

ADI’s MAX78000/MAX78002 project is comprised of five repositories:

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* `Flatten` functionality is available to convert 2D input data for use by fully connected layers, see [Fully Connected Layers](#fully-connected-linear-layers).
* When “flattening” two-dimensional data, the input dimensions (C×H×W) must satisfy C×H×W ≤ 16384. Pooling cannot be used at the same time as flattening.
* When “flattening” two-dimensional data, the input dimensions (C×H×W) must satisfy C×H×W ≤ 16384, and H×W ≤ 256. Pooling cannot be used at the same time as flattening.
* Element-wise operators support from 2 up to 16 inputs.
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* The maximum number of input neurons is 1024, and the maximum number of output neurons is 1024 (16 each per processor used).
* `Flatten` functionality is available to convert 2D input data for use by fully connected layers, see [Fully Connected Layers](#fully-connected-linear-layers).
* When “flattening” two-dimensional data, the input dimensions (C×H×W) must satisfy C×H×W ≤ 16384. Pooling cannot be used at the same time as flattening.
* When “flattening” two-dimensional data, the input dimensions (C×H×W) must satisfy C×H×W ≤ 16384, and H×W ≤ 256. Pooling cannot be used at the same time as flattening.
* Element-wise operators support from 2 up to 16 inputs.
* Element-wise operators can be chained in-flight with pooling and 2D convolution (where the order of pooling and element-wise operations can be swapped).
* For convenience, a `Softmax` operator is supported in software.
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