Next, we continue our journey designing the discriminator module, which will be responsible for telling the real images from the fake ones supplied by the generator module we just designed. The concept behind the architecture is quite similar to that of the generator, with some key differences. The discriminator network receives images of a 32 x 32 x 3 dimension, which it then transforms into various representations as information propagates through deeper layers, until the dense classification layer is reached, equipped with one neuron and a sigmoid activation function. It has one neuron, since we are dealing with the binary classification task of distinguishing fake from real. The sigmoid function ensures a probabilistic output between 0 and 1, indicating how fake or real the network thinks a given image may be. Do also note the inclusion of...
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You're reading from Hands-On Neural Networks with Keras
Niloy Purkait is a technology and strategy consultant by profession. He currently resides in the Netherlands, where he offers his consulting services to local and international companies alike. He specializes in integrated solutions involving artificial intelligence, and takes pride in navigating his clients through dynamic and disruptive business environments. He has a masters in Strategic Management from Tilburg University, and a full specialization in data science from Michigan University. He has advanced industry grade certifications from IBM, in subjects like signal processing, cloud computing, machine and deep learning. He is also perusing advanced academic degrees in several related fields, and is a self-proclaimed lifelong learner.
Read more about Niloy Purkait
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Niloy Purkait is a technology and strategy consultant by profession. He currently resides in the Netherlands, where he offers his consulting services to local and international companies alike. He specializes in integrated solutions involving artificial intelligence, and takes pride in navigating his clients through dynamic and disruptive business environments. He has a masters in Strategic Management from Tilburg University, and a full specialization in data science from Michigan University. He has advanced industry grade certifications from IBM, in subjects like signal processing, cloud computing, machine and deep learning. He is also perusing advanced academic degrees in several related fields, and is a self-proclaimed lifelong learner.
Read more about Niloy Purkait