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2. Architecture 3. Algorithms 4. Training DataThe Cat Meme Detector is a state-of-the-art AI-powered meme generator designed to detect and classify cat memes. Using a sophisticated combination of computer vision and deep learning, our detector can identify even the most obscure cat memes and provide valuable insights into the feline internet culture.
Technical DetailsThis page contains the technical details of the Cat Meme Detector, including its architecture, algorithms, and training data. For the sake of brevity, we'll assume you're a software engineer and not a cat enthusiast.
1.1 Architecture 1.2 Algorithms 1.3 Training DataThe Cat Meme Detector is built on a combination of TensorFlow, Keras, and OpenCV. Our architecture consists of a convolutional neural network (CNN) followed by a recurrent neural network (RNN) and finally a fully connected layer.
ComponentsOur architecture consists of the following components:
Our algorithms include:
Our training data consists of a dataset of 100,000 images of cats in various meme formats. We've curated this dataset from the darkest corners of the internet, where cat memes dwell.
Data PointsOur training data points include: