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README.md
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model_name: MorseH_Model
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tags:
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- morse-code
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- text-to-morse
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- text
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- text-generation-inference
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- morse-code-generation
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- morse-code-translator
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license: apache-2.0
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library_name: pytorch
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language: en
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- accuracy
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#
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This model is designed to convert textual characters into Morse code symbols (dots, dashes, and spaces) using a custom neural network in PyTorch.
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## Model Architecture
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The model uses an embedding layer followed by two fully connected layers to predict Morse code encodings.
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### Model Inputs and Outputs
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---
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model_name: MorseH_Model
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tags:
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- simple-cnn
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- morse-code
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- text-to-morse
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- text
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- text-generation-inference
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- morse-code-generation
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- morse-code-translator
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- text-to-morse-code-translator
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license: apache-2.0
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library_name: pytorch
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language: en
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- accuracy
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---
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# MorseH_Model
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This model is designed to convert textual characters into Morse code symbols (dots, dashes, and spaces) using a custom neural network in PyTorch.
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## Model Architecture
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This is built on a simple CNN Model which translates text to morse-code. Please refer Perceptron and Multilayer
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Perceptron to understand the model architecture.
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The model uses an embedding layer followed by two fully connected layers to predict Morse code encodings.
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### Model Inputs and Outputs
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