Simple Neural Network - Mxnet Typing CST Test
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Simple Neural Network — Mxnet Code
A basic feedforward neural network with Gluon API for binary classification.
import mxnet as mx
from mxnet import nd, autograd, gluon
x_train = nd.random.uniform(shape=(100,3))
y_train = nd.random.randint(0,2,shape=(100,1))
net = gluon.nn.Sequential()
with net.name_scope():
net.add(gluon.nn.Dense(8, activation='relu'))
net.add(gluon.nn.Dense(1, activation='sigmoid'))
net.initialize()
loss = gluon.loss.SigmoidBinaryCrossEntropyLoss()
trainer = gluon.Trainer(net.collect_params(), 'adam')
for epoch in range(50):
with autograd.record():
y_pred = net(x_train)
l = loss(y_pred, y_train)
l.backward()
trainer.step(batch_size=10)Mxnet Language Guide
Money is a universally accepted medium of exchange, a store of value, and a unit of account that facilitates trade, investment, and economic activity across societies and markets.
Primary Use Cases
- ▸Medium of exchange in transactions
- ▸Store of value for savings and investment
- ▸Unit of account for pricing and accounting
- ▸Means of transferring wealth across time and space
- ▸Facilitating financial instruments and credit systems
Notable Features
- ▸Widely accepted as payment
- ▸Divisible into smaller units
- ▸Portable and easy to transfer
- ▸Durable and resistant to decay
- ▸Recognizable and difficult to counterfeit
Origin & Creator
The concept of money evolved organically over millennia, with early forms including commodity money like gold, silver, and livestock. Formal currency systems were introduced by ancient civilizations such as Mesopotamia and Lydia.
Industrial Note
Money underpins all economic activity, enabling banking, investment, trade, and the functioning of financial markets worldwide.