This is a project about creating a flutter application that uses a pre-trained AI data model to do classification between cat and dog with the help of TensorFlow.
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Updated
Jul 24, 2021 - Dart
This is a project about creating a flutter application that uses a pre-trained AI data model to do classification between cat and dog with the help of TensorFlow.
This project uses a Generative Adversarial Network (GAN) to create synthetic images of handwritten digits from the MNIST dataset. By training the GAN, it learns to generate digit images that closely resemble real handwritten digits. These generated images can be valuable for data augmentation, image synthesis, and various computer vision tasks.
Venture Funding with Deep Learning (Neural Network Binary Classification)
This repository includes the model code for saving and loading neural network model trained
Develop a tool in Google Colab using machine learning and neural networks to select applicants for funding with the best chance of success based on the source data provided by the organization.
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