TensorFlow

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.

Start by installing TensorFlow and importing it into your Python environment.

• Articletensorflow.org