pooling-layers

There are 0 repository under pooling-layers topic.

codingClaire / GraphPoolingGarden
A repo for baseline of graph pooling.
graph graph-classification graph-pooling pooling-layers graph-deep-learning graph-neural-networks pyg pytorch
Language:Python 3
rochitasundar / Intro-To-Deep-Learning-With-PyTorch
This repository contains my code solutions to Udacity's coursework 'Intro to Deep Learning with PyTorch'.
dropout early-stopping error-function momentum neural-network optimizer regularization transfer-learning kernels pooling-layers cnn-architecture gram-matrix style-transfer lstm-architecture rnn-pytorch
Language:Jupyter Notebook 2
MBadriNarayanan / TensorFlowInPractice
Tensor Flow In Practice Specialization (4 Courses) . Course offered by Coursera and deeplearning.ai. Taught by Laurence Moroney.
tensorflow keras tokenizer lstm gru rnn cnn convolutional-layers embedding-layers regularizers image-generators pooling-layers time-series text-generation image-classification
Language:Jupyter Notebook 1
MEGARAJAN-S / CONVOLUTION-NEURAL-NETWORK
A CNN is a kind of network architecture for deep learning algorithms and is specifically used for image recognition and tasks that involve the processing of pixel data. This repository contains the code for CNN with a categorical classification dataset.
activation-functions adam-optimizer artificial-intelligence artificial-neural-networks convolutional-layers convolutional-neural-networks crossentropyloss dataset fully-connected-network loss-functions output pooling-layers python python3 torch torchvision
Language:Python 1
peter-strom / ML-p3-CNN
ann average-pooling backpropagation cnn convoluted-neural-networks convolution convolutional-layers convolutional-neural-network convolutional-neural-networks feedforward feedforward-neural-network feedforward-neural-networks max-pooling maxpooling neural-network neural-networks pooling pooling-layers pooling-max-average
Language:C++ 0
aalaa-adel1 / Neural-Network
image classification task where we use different deep learning models from scratch like vgg16,cnn,tramsformers, and using the initial weights to try getting the best accuracy on kaggle competition
classification-model cnn-model python transformers vgg16-model convolutional-neural-networks fully-connected-network pooling-layers
Language:Jupyter Notebook
prakHr / Multiclass-Category-Classification
Contains notebooks that does categorical classification of shop items using embeddings in CNNs and Pyspark(Logistic Regression and MLlib)
convolutional-neural-networks pyspark pyspark-mllib pyspark-notebook jupyter-notebook python-3 embeddings dropout pooling pooling-max-average pooling-layers
Language:Jupyter Notebook