Skip to content

Instantly share code, notes, and snippets.

Created December 20, 2020 10:50
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
Star You must be signed in to star a gist
Save amankharwal/a76c7d8d059b78d8a9a89cda693ff53c to your computer and use it in GitHub Desktop.
def create_model(max_sequence_len, total_words):
input_len = max_sequence_len - 1
model = Sequential()
# Add Input Embedding Layer
model.add(Embedding(total_words, 10, input_length=input_len))
# Add Hidden Layer 1 - LSTM Layer
# Add Output Layer
model.add(Dense(total_words, activation='softmax'))
model.compile(loss='categorical_crossentropy', optimizer='adam')
return model
model = create_model(max_sequence_len, total_words)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment