Build with nn.Sequential

Problem Statement

Build a neural network using the nn.Sequential container.

Background

nn.Sequential is a convenient container for building simple feed-forward networks. Modules are added in order, and each module's output is automatically passed as input to the next.

Your Task

Write a function build_sequential_net(input_size, hidden_size, output_size) that builds a two-layer network with a ReLU activation between them and returns a dictionary describing it.

Output Format

Return a dictionary with keys: "num_layers" (int), "output_shape" (list — shape for a single sample), "has_relu" (boolean).

Example:

Input:

input_size=784, hidden_size=128, output_size=10

Output:

{'num_layers': 3, 'output_shape': [1, 10], 'has_relu': True}

Reasoning:

3 modules: Linear, ReLU, Linear. Output is (1, 10)

Constraints:

Use nn.Sequential
Include nn.Linear and nn.ReLU
Network: Linear → ReLU → Linear