hi, this is the architecture of the code model, then I will upload a script to retrain the emotion detection model.

instantiate model

model = Sequential()

1 - Convolution

model.add(Conv2D(64,(3,3), padding='same', input_shape=(48, 48,1)))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Dropout(0.25))

2nd Convolution layer

model.add(Conv2D(128,(5,5), padding='same'))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Dropout(0.25))

3rd Convolution layer

model.add(Conv2D(512,(3,3), padding='same'))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Dropout(0.25))

4th Convolution layer

model.add(Conv2D(512,(3,3), padding='same'))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Dropout(0.25))

Flattening

model.add(Flatten())

Fully connected layer 1st layer

model.add(Dense(256))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(0.25))

Fully connected layer 2nd layer

model.add(Dense(512))
model.add(BatchNormalization())
model.add(Activation('relu'))
model.add(Dropout(0.25))

model.add(Dense(num_classes, activation='softmax'))

model.summary()

from face_liveness_detection-anti-spoofing.

Hello,Thank you so much @juan-csv for the detailed reply.
Can you share what are the baseline models in case of emotion detection and what to refer to find more about that

1. model_baseline_v1
2. model_v1
3. model_baseline_dropout
4. model_dropout
5. model_baseline_tf_learning
6. model_tf_learning

Again ,Thanks a lot.

from face_liveness_detection-anti-spoofing.

At this moment I do not have enough time to organize the information about the architecture of the other models, for now you can go to https://www.kaggle.com/ashishpatel26/facial-expression-recognitionferchallenge/kernels and review other implementations for the detections of emotions.

from face_liveness_detection-anti-spoofing.

Sure and thanks @juan-csv .

from face_liveness_detection-anti-spoofing.