Evaluation of the CNN design choices performance on ImageNet-2012.
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Updated
Jul 30, 2017 - Jupyter Notebook
Evaluation of the CNN design choices performance on ImageNet-2012.
Here are the activation codes for Sublime Text 3114, 3126, 3143 (latest)
Swish Activation Function
Dump feature maps per image, and create montages of the 'best' images and activations for each feature map at a given layer
Visualising what each LSTM cell learns from data.
When installing an OS or other Microsoft software into a virtual machine, one is often met with the activation problem. Usually it's not a problem, but when you want to keep the virtual machine for a long time, you want to activate it. Here's how.
Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood
m-arcsinh: A Reliable and Efficient Function for Supervised Machine Learning (scikit-learn, TensorFlow, and Keras) and Feature Extraction (scikit-learn)
Tool to check remaining MAK activations
Library for automatically balancing the number of active Grains in an Orleans. It allows you to set limits on the number of active Grains, and will automatically deactivate Grains if those limits are reached. It can also perform rebalancing of Grain activations between silos to ensure evenly distributed.
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
This project aims to predict the age of individuals from images using a pre-trained ResNet50 model. We preprocess the dataset, train the model, and visualize the results using Grad-CAM.
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