deep learning
Projects with this topic
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✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an ASTRAL VISION PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
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Research on the use of Deep Imitation Learning to obtain models of opponent behavior in the RoboCup Soccer Simulation 2D League.
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Exercícios de programação da disciplina MAC0460 - Introdução ao Aprendizado de Máquina ministrada pela professora Nina Sumiko Tomita Hirata no Instituto de Matemática e Estatística da Universidade de São Paulo no primeiro semestre de 2021.
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Machine Learning Basics - implementation of: loss functions (cross entropy loss, L1 loss, L2 loss, hinge loss), regularizations (L1 regularizer, L2 regularizer, early stopping), gradient check, optimizers, training a simple deep model.
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A bunch of notebooks on machine learning
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Final project for my python for data science class.
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Application of Deep Learning methods to Time Series
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This is the first project donne for my deep learning class
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A virtual space with your virtual twin. Your twin can interact with other twins and other people.
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Machine Learning - Content Based Recommendation System
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To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution which can evaluate images and alert the dermatologists.
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This project deals with human detection from IR-UWB radar sensors. In this project, we implement a custom Convolutional Neural Network with TensorFlow to classify reflected signals from people queuing and walking in a closed space.
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A neural network made up of several neural networks.
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TensorFlow examples for Artificial Neural Networks course including: MLP with softmax output layer; MLP and CNN for MNIST dataset; CNN for CIFAR-10 dataset with data augmentation; LSTM with CNN layer for IMDB sentiment classification task.
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Project tackles the analysis of seismic events and uses a DCGAN to replicate its behaviour.
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Experimental method to research "implicit optical perspective" in deep learning computer vision systems.
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Semen analysis is an integral part of Invitro Fertilization also known as IVF. We trained a spatial temporal 3D convolutional neural network to predict sperm motility from videos along with other tabular data.
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