deep learning
Projects with this topic
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Application of deep Q-Learning to play Snake.
Project for the Machine Learning course, A.Y. 2015/2016, Politecnico di Milano
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An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.
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An early detection of lung cancer algorithm based on artificial neural networks.
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My work for part one of the course.fast.ai Practical Deep Learning for Coders, Part 1 class.
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The goal of this project is to familiarize myself with Keras and understand how it's different from Tensorflow. Alongside I'll look into creating infrastructure for visualizing the network and monitor learning.
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A sequence to sequence implementation (Encoder-Decoder network) in Keras for sorting a list of integers
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Using AWS Machine Learning services and Apache MXNet on a Raspberry Pi.
Code for the Johnny Pi series of posts on Medium https://medium.com/@julsimon/johnny-pi-i-am-your-father-part-0-1eb537e5a36
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Deep learning AI, that recognizes when are people uncertain
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This repo is trying to train CIFAR10 dataset using pure tensorflow. I also completed with cat_dog_pandas project to strengthen our comprehension.
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Ini adalah project untuk kasus dataset iris yang dilatih dengna menggunakan jaringan syaraf tiruan atau neural network (fully connected layer) dari tahapan preprocessing sampai dengan tahapan production
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Code used for producing results presented in the article "Signal mixture estimation for degenerate heavy Higgses using a deep neural network", published in I. Eur. Phys. J. C (2018) 78: 1010
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This repo contains material and coding files which is cosntis of : basic python and data science, train iris dataset and its production and simple image recognition with open cv
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Laboratory to quickly run supervised learning experiments with PyTorch.
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Implementation of deep-learning techniques using the textbook: "Deep Learning in Python".
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Experiments regarding Artificial Neural Network's modularization. Main Hypothesis is that modularization helps to reduce training time and the amount of training data required. Furthermore, it can also help generalization and lead to better results.
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Tensor regression layer in Keras
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A golang microservice for predicting next frame using tensorflow serving
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Domain specific language for generating analogous variations of textual inputs
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This is the repository for my final year project. The title of the project is Deep Learning of Word Embeddings for semantic search.
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