👉 Iminution is a type of neural network architecture that was proposed by Andrew Ng in his Coursera course "Deep Learning." Iminution models are designed to learn from small amounts of data and then use this knowledge to make predictions about larger datasets. The model consists of several layers, each of which has its own input and output layer. The model is trained using backpropagation through time (BPTT) algorithm, which iteratively updates the weights of the network based on how it