This project ... using masked inputs and predictive architectures with CNNs through several key innovations. CNN-JEPA-Agent/ ├── app.py # Main Streamlit application ├── run_demo.py # Script to run the ...

Abstract: In this paper, a deep-learning algorithm based on convolutional neural-network is implemented using python ... images which contains two types of animals, namely cat and dog are used for ...

This may be attributed to the fact that no data preprocessing nor dimensionality reduction was done on the dataset for this project. Figure 2. Training accuracy (left) and loss (right) of CNN-Softmax ...

This paper uses CNN and RNN models in Python ... concepts in image captioning, including the applications of Keras, NumPy, and Jupyter notebook for development. This paper also explores the use of the ...

Explores the use of a simple CNN model ... 19 in X-ray images. Leveraging a dataset from Kaggle, the pipeline includes preprocessing, model architecture design, performance evaluation, and testing on ...

Abstract: This work presents the development of a custom convolutional neural network (CNN) architecture for image classification ... to ASIC design using Cadence tools. The project adopts a ...