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// sample code for simple neural network Model for classification problem
import tensorflow as tf
from tensorflow.keras import layers, models
# Define a model
model = models.Sequential([
layers.Dense(64, activation='relu', input_shape=(784,)),
layers.Dense(10, activation='softmax')
])
# Compile the model
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
# Train the model
model.fit(X, y, epochs=5)
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Beyond traditional AI, we bring you DecentrAI: Where you can choose from a variety of Pre-trained and training models, enabling diverse stakeholders to drive advanced AI innovation.
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DU submits AI job requirements on the portal for DSP to execute, initiating the task.
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Some frequently asked questions to clarify any queries
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