|
|
|
|
|
|||||||
| Google Site Search | Get RDSS | Sartin Library | RDSS FAQs | Conduct | Register | Site FAQ | Members List | Today's Posts | Search |
| Speculator Speculator - FAQs, Technical Support, Examples, etc |
 |
|
|
Thread Tools | Display Modes |
# Assuming input shape is 224x224 RGB images input_shape = (224, 224, 3)
# Input layer inputs = Input(shape=input_shape)
# Add custom layers x = base_model.output x = MaxPooling2D(pool_size=(2, 2))(x) x = Flatten()(x) x = Dense(128, activation='relu')(x) outputs = Dense(4, activation='softmax')(x) # For a foursome analysis example
model = Model(inputs=inputs, outputs=outputs)
# Base model base_model = VGG16(weights='imagenet', include_top=False, input_tensor=inputs)
# Assuming input shape is 224x224 RGB images input_shape = (224, 224, 3)
# Input layer inputs = Input(shape=input_shape) kjbennet foursome and facial at end2440 min top
# Add custom layers x = base_model.output x = MaxPooling2D(pool_size=(2, 2))(x) x = Flatten()(x) x = Dense(128, activation='relu')(x) outputs = Dense(4, activation='softmax')(x) # For a foursome analysis example # Assuming input shape is 224x224 RGB images
model = Model(inputs=inputs, outputs=outputs) activation='relu')(x) outputs = Dense(4
# Base model base_model = VGG16(weights='imagenet', include_top=False, input_tensor=inputs)
