Getting Started with TensorFlow

Learn the fundamentals of TensorFlow, Google's open-source machine learning framework. This tutorial covers installation, basic operations, and building your first neural network.

TensorFlow Beginner Python
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Image Classification with TensorFlow

Build a powerful image classifier using TensorFlow and Keras. This tutorial guides you through data preprocessing, model building, training, and evaluation.

TensorFlow Computer Vision Keras Intermediate
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Natural Language Processing with TensorFlow

Dive into Natural Language Processing (NLP) with TensorFlow. Learn to process text data, build Recurrent Neural Networks (RNNs) and Transformers for tasks like sentiment analysis.

TensorFlow NLP Python Advanced
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Deploying TensorFlow Models

Discover how to deploy your trained TensorFlow models to various platforms, including web browsers (TensorFlow.js) and mobile devices (TensorFlow Lite).

TensorFlow Deployment TensorFlow.js TensorFlow Lite
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Featured Code Snippet

import tensorflow as tf

# Create a constant tensor
hello = tf.constant('Hello, TensorFlow!')

# Print the tensor
print(hello)

# Build a simple model
model = tf.keras.models.Sequential([
  tf.keras.layers.Dense(10, activation='relu'),
  tf.keras.layers.Dense(10, activation='softmax')
])

print("TensorFlow version:", tf.__version__)