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Deep Learning Assignment Help Service | Turn Around Time | Price (USD) |
---|---|---|
Basics of Neural Networks | 1 days | $50 |
Convolutional Neural Networks | 3 days | $70 |
Recurrent Neural Networks | 4 days | $90 |
Deep Reinforcement Learning | 5 days | $100 |
Natural Language Processing | 3 days | $80 |
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- Deep Learning Assignment Help
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Implementation of Neural Network Using TensorFlow Library for Deep Learning
import tensorflow as tf
from tensorflow.keras.datasets import mnist
# Load and preprocess the MNIST dataset
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
# Define the model architecture
model = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10)
])
# Compile the model
loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
model.compile(optimizer='adam', loss=loss_fn, metrics=['accuracy'])
# Train the model
model.fit(x_train, y_train, epochs=5)
# Evaluate the model
test_loss, test_acc = model.evaluate(x_test, y_test, verbose=2)
print('\nTest accuracy:', test_acc)
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Placing an order is simple. Just fill out our online form, providing details about your assignment requirements and deadlines. Once submitted, our team will review your request and assign the most suitable expert to assist you.
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Our Assignment experts hold Ph.D. degrees in Computer Science from prestigious universities worldwide, with extensive experience in deep learning. Rest assured, your assignments will be handled by highly qualified professionals.