How to use a neural network model from an other program
# simple_sequential_network.py
from keras.models import Sequential
from keras.layers import Dense
def
create_sequential_model(input_dim):
model = Sequential()
model.add(Dense(10,
input_dim=input_dim, activation='relu')) # Example layer, adjust as needed
model.add(Dense(1,
activation='sigmoid')) # Output layer, adjust as needed
model.compile(loss='binary_crossentropy',
optimizer='adam', metrics=['accuracy'])
return model
from an other program:
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# make_predictions.py
import numpy as np
from simple_sequential_network
import create_sequential_model
# Load the model
input_dim = 5 # Example input
dimension, should match the input dimension of the model
model =
create_sequential_model(input_dim)
# Load sample data for prediction
X_new = np.random.rand(10,
input_dim) # Example: 10 new samples, each with input_dim features
# Make predictions
predictions = model.predict(X_new)
print("Predictions:")
print(predictions)
Bu çok küçük bir adım... Daha
büyükleri için:
https://openai.com/research/techniques-for-training-large-neural-networks
https://medium.com/@TheHaseebHassan/techniques-to-train-large-neural-networks-e315f1edddd4
Kolaylıklar...
