TensorFlow

5 Steps

1. 1

   Install TensorFlow: Install TensorFlow using pip. It's recommended to use a virtual environment.

2. 2

   Import TensorFlow: Import the TensorFlow library into your Python script.

3. 3

   Create a Simple Model: Define a simple linear model: y = Wx + b, where W is the weight, x is the input, and b is the bias.

4. 4

   Define a Loss Function: Define a loss function to measure the difference between the model's predictions and the actual values. Here, we use mean squared error.

5. 5

   Train the Model: Train the model using gradient descent to minimize the loss function. This example uses a simple training loop.