But the Neuron and Connections are just metadata objects like pointers that hold arrays, I don't understand.

Surely in PyTorch/TF, the ND-Arrays of NN's must also be associated to an object reference?

> existing frameworks (PyTorch/TensorFlow) and accelerated hardware (GPUs/TPUs) which operate on neurons arranged as arrays of the same shape.

    const dot = (inputs: number[], weights: number[]) => {
      let total = 0;
      const length = Math.min(inputs.length, weights.length);
      for (let i = 0; i < length; i++) {
        total += inputs[i] * weights[i];
      }
      return total;
    };

  activate(input?: number): number {
    if (!this.incoming.length) {
      this.output = input;
    } else {
      const inputs = this.incoming.map(connection => connection.from.output)
      const weights = this.incoming.map(connection => connection.weight);
      this.output = squash(dot(inputs, weights) + this.bias);
    }
    return this.output;
  }

This is on principle the same concept right?