custom word

[niranjan8129]

how to train custom word like

source word --------------------- target word

1- #U@SAA$ -------------------------- USA
2- %Goo@#g-le ----------------------- Google

[rohan12345a]

#You can refer to the below code as a starting point:

import tensorflow as tf

Define the source and target word pairs

source_words = ['#U@SAA$', '%Goo@#g-le']
target_words = ['USA', 'Google']

Define the simple neural network architecture a basic one.

model = tf.keras.Sequential([
tf.keras.layers.Embedding(input_dim=vocab_size, output_dim=embedding_dim),
tf.keras.layers.GlobalAveragePooling1D(),
tf.keras.layers.Dense(output_dim)
])

Compile the model

model.compile(optimizer='adam', loss='mse')

Train the model

model.fit(source_words, target_words, epochs=num_epochs, batch_size=batch_size)