Open Startonix opened 1 month ago
keras_nn.py
from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense
model = Sequential() model.add(Dense(64, activation='relu', input_dim=100)) model.add(Dense(10, activation='softmax'))
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
import numpy as np
x_train = np.random.rand(1000, 100) y_train = np.random.randint(10, size=1000)
model.fit(x_train, y_train, epochs=10, batch_size=32)
keras_nn.py
from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense
model = Sequential() model.add(Dense(64, activation='relu', input_dim=100)) model.add(Dense(10, activation='softmax'))
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
Example data
import numpy as np
x_train = np.random.rand(1000, 100) y_train = np.random.randint(10, size=1000)
model.fit(x_train, y_train, epochs=10, batch_size=32)