Evaluation of the CNN design choices performance on ImageNet-2012.

🎯 Accumulated Gradients for TensorFlow 2

Unet_3d,Segment

Awesome GNN Learning For beginners

Experiments on adaptive policy gradient

Reproduction of the "Don't Decay the Learning Rate, Increase the Batch Size" conference paper.

This project is an app that lets the user control the mouse pointer of their computer using their eye gaze. The app uses multiple pre-trained computer vision models from the openvino model zoo in a structured pipeline to detect the user's eye gaze and move the mouse pointer in the right distance and direction.

We provide a simple code snippet on how to simulate a bigger batch size when it is not directly achievable by your GPU.

A Batch Size Scheduler library compatible with PyTorch DataLoaders.

Compressed CNNs for airplane classification in satellite images (APoZ-based parameter pruning, INT8 weight quantization)

This pdf shows some methods to fine tune the hyperparameters of a Neural Network to increase it's performance. It also puts light on some of the common problems related to Neural Networks along with their solutions.

Keras helper class for adaptative batch size annealing.

Short introduction to BatchSize (hibernate annotation).

Cómo cambia la exactitud de un modelo, al usar diferentes capas de convolución y modificar el número de épocas y baches

Network-Intrusion-Detection

Content: Structure of CNN, Convolutional layer, Pooling layer, Fully connected layer, Dense layer, output, Image classification, Creating, compiling and training the model on epochs, testing the model on gradio

python code, notebooks and Images used for AI502 Midterm Project.