Parasite detection platform

Skills

#Model structure
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Flatten, Conv2D, MaxPool2D
  
t_model= Sequential([
    tf.keras.layers.InputLayer(shape=(IM_SIZE, IM_SIZE, 3)),

    Conv2D(6, 3, strides=1, padding="valid", activation="relu"),
    tf.keras.layers.BatchNormalization(),
    MaxPool2D(pool_size=(2,2), strides=2),

    Conv2D(16, 3, strides=1, padding="valid", activation="relu"),
    tf.keras.layers.BatchNormalization(),
    MaxPool2D(pool_size=(2,2), strides=2),

    Flatten(),
    ByteMindDense(120, activation="relu"),
    tf.keras.layers.BatchNormalization(),

    ByteMindDense(84, activation="relu"),
    tf.keras.layers.BatchNormalization(),
    ByteMindDense(1, activation="sigmoid")
])
t_model.summary()

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