Concepts and details about using PyTorch for deep learning, along with concrete examples, are provided.
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Updated
Jul 11, 2023 - Jupyter Notebook
Concepts and details about using PyTorch for deep learning, along with concrete examples, are provided.
CNN network implemented using the Pytorch Framework from the scratch for classifying the Fashion - MNIST data set, activation layer of RELU is used for the nolinearity and cross entropy for the final backward error propagation, for better visualisation Tensorboard is also incorporated which helped in fine tuning of the hyper params
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Repo for PyTorch ~
Minicurso de introdução a Deep Learning com a biblioteca PyTorch, apresentado no FLISOL 2019 de Quixadá-CE
This RNN model predicts the next character based on a text.
PyTorch practice notebooks from various sources
Applying Deep Learning and Convolutional Neural Network to Classify Cats and Dogs
CVAE implementation on MNIST dataset using PyTorch
This repository contains simplified implementations of neural-networks and their applications in PyTorch.
Sentiment analysis using BERT and pytorch on hugging face data set
Skeleton for building almost any ML application in NLP & vision
A repository where I push my pytorch tutorials and experiments.
PyTorch is an open source Python machine learning library based on Torch developed by Meta.
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