This is a Deep Learning model using dcgan to create a fake image generator Generative Adversarial Network (GAN) and Deep Convolutional for classification I worked on the celeb A dataset imported from kaggle and applied the model on google colab
Omar Elsamahy 18102063 Generator Architecture dense (Dense) multiple 3660800
batch_normalization (BatchN multiple 146432
ormalization)
leaky_re_lu (LeakyReLU) multiple 0
reshape (Reshape) multiple 0
upsample (Upsample) multiple 1639680
upsample_1 (Upsample) multiple 819840
upsample_2 (Upsample) multiple 205120
conv2d_transpose_3 (Conv2DT multiple 4803
Discriminator arch input_1 (InputLayer) [(None, 104, 88, 3)] 0
cnn_block (CNNBlock) multiple 2432
cnn_block_1 (CNNBlock) multiple 51264
cnn_block_2 (CNNBlock) multiple 204928
cnn_block_3 (CNNBlock) multiple 819456
flatten (Flatten) multiple 0
dense_1 (Dense) multiple 585729
10 Images