TensorFlow Guide 🤖🔥

Deep Learning & Neural Networks

1. What is TensorFlow?

TensorFlow is a Python library by Google used to build deep learning models like neural networks.

2. Installation

pip install tensorflow

3. Import

import tensorflow as tf

4. Simple Neural Network

model = tf.keras.Sequential([
  tf.keras.layers.Dense(10, activation='relu'),
  tf.keras.layers.Dense(1)
])

5. Compile Model

model.compile(
  optimizer='adam',
  loss='mean_squared_error'
)

6. Train Model

model.fit(X_train, y_train, epochs=10)

7. Prediction

model.predict([[5]])

8. Deep Learning Types

- ANN (Neural Networks)
- CNN (Image processing)
- RNN (Sequence data)

9. Real Use Cases