Use Keras to create a neural network with two inputs, 3 hidden layers with two hidden neurons and two output neurons. Ad

[answerhappygod]

Use Keras to create a neural network with two inputs, 3 hidden
layers with two hidden neurons and two output neurons.
Additionally, the hidden and output neurons will include a bias.
All the activation functions in hidden and output neurons are
sigmoid functions. Input and output neurons values are shown in
below: input is: [0.05, 0.1], output is: [0.01, 0.99].
(1) Generate the same 1000 samples of input [0.05, 0.1]
and output [0.01, 0.99] as your training data
(2) Loss function use MSE in the code
(3) Optimizer use adam in the code
(4) Set epochs=10, batch_size=1, shuffle=True in the code
(5) Fix random seed for reproducibility
(6) Plot training loss curve in the jupyterNotbook code