UFLDL Tutorial - Ufldl

Unsupervised Feature Learning and Deep Learning Tutorial

Deep Learning for NLP (without Magic)

A Deep Learning Tutorial: From Perceptrons to Deep Networks

Are you joining the growing group of developers who want to know more about deep learning this introductory tutorial covers it all

Metacademy - Deep learning from the bottom up

Metacademy a free open source platform for efficient personalized learning

Theano Tutorial

Neural Networks for Matlab

Using convolutional neural nets to detect facial keypoints tutorial — Daniel Nouri’s Blog

ipam-tutorials/th_tutorials at master · clementfarabet/ipam-tutorials

Ipam tutorials on theano torch contribute to clementfarabet ipam tutorials development by creating an account on git hub

GitHub - josephmisiti/machine-learning-module: the best machine learning tutorials on the web

The best machine learning tutorials on the web contribute to josephmisiti machine learning module development by creating an account on git hub

VGG Practical

GitHub - nlintz/TensorFlow-Tutorials: Simple tutorials using Google’s TensorFlow Framework

Simple tutorials using google s tensor flow framework git hub nlintz tensor flow tutorials simple tutorials using google s tensor flow framework

GitHub - pkmital/tensorflow_tutorials: From the basics to slightly more interesting applications of Tensorflow

From the basics to slightly more interesting applications of tensorflow git hub pkmital tensorflow tutorials from the basics to slightly more interesting applications of tensorflow

GitHub - aymericdamien/TensorFlow-Examples: TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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GitHub - vict0rsch/deep_learning: Deep Learning Resources and Tutorials using Keras and Lasagne

Deep learning resources and tutorials using keras and lasagne git hub vict0rsch deep learning deep learning resources and tutorials using keras and lasagne

GitHub - guillaume-chevalier/LSTM-Human-Activity-Recognition: Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Human activity recognition example using tensor flow on smartphone sensors dataset and an lstm rnn classifying the type of movement amongst six activity categories guillaume chevalier git hub

Using convolutional neural nets to detect facial keypoints tutorial — Daniel Nouri’s Blog

GitHub - astorfi/TensorFlow-World: Simple and ready-to-use tutorials for TensorFlow

Earth americas simple and ready to use tutorials for tensor flow git hub astorfi tensor flow world simple and ready to use tutorials for tensor flow

Deep Learning with Python

Deep learning with python i introduces the field of deep learning using the python language and the powerful keras library written by keras creator and google ai researcher fran 231 ois chollet this book builds your understanding through intuitive explanations and practical examples p

Grokking Deep Learning

Grokking deep learning i teaches you to build deep learning neural networks from scratch in his engaging style seasoned deep learning expert andrew trask shows you the science under the hood so you grok for yourself every detail of training neural networks p

Deep Learning for Search

Deep learning for search i teaches you how to improve the effectiveness of your search by implementing neural network based techniques by the time you re finished with the book you ll be ready to build amazing search engines that deliver the results your users need and that get better as time g

Keras Tutorial: Content Based Image Retrieval Using a Convolutional Denoising Autoencoder

GitHub - yunjey/pytorch-tutorial: PyTorch Tutorial for Deep Learning Researchers

Py torch tutorial for deep learning researchers contribute to yunjey pytorch tutorial development by creating an account on git hub

Understanding deep Convolutional Neural Networks 👁 with a practical use-case in Tensorflow and Keras | Ahmed BESBES

Deep learning is one of the most exciting artificial intelligence topics it s a family of algorithms loosely based on a biological

Overview and benchmark of traditional and deep learning models in text classification 📝 | Ahmed BESBES

This article is an extension of a previous one i wrote when i was experimenting sentiment analysis on twitter data back in the time i

GitHub - MaelAbgrall/HardwareforAI: Hardware & computer guide for AI: how to choose & build a computer. This guide is intended for beginers in hardware, in order to plan what you need and how to choose parts for a computer specialized in Deep Learning. 🤖

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Learn Artificial Intelligence - Best Artificial Intelligence Tutorials | Hackr.io

Learning artificial intelligence check out these best online artificial intelligence courses and tutorials recommended by the data science community pick the tutorial as per your learning style video tutorials or a book free course or paid tutorials for beginners or advanced learners check art

The Illustrated Self-Supervised Learning

A visual introduction to self supervised learning methods for visual representations

Visual Paper Summary: ALBERT (A Lite BERT)

An illustrated summary of albert paper

Semi-Supervised Deep Learning with GANs for Melanoma Detection

In this live project you ll take on the role of a computer vision engineer creating a proof of concept for a mobile app with world changing potential the goal of the app is to capture a picture of a skin mole and then calculate the likelihood of it being a cancerous melanoma in need of medical int

Trax-Examples/NER using Reformer.ipynb at main · SauravMaheshkar/Trax-Examples

Contains example notebooks for various machine learning tasks using the trax library trax examples ner using reformer ipynb at main saurav maheshkar trax examples

Trax-Examples/Deep N-Gram.ipynb at main · SauravMaheshkar/Trax-Examples

Contains example notebooks for various machine learning tasks using the trax library trax examples deep n gram ipynb at main saurav maheshkar trax examples

Trax-Examples/illustrated-wideresnet.ipynb at main · SauravMaheshkar/Trax-Examples

Contains example notebooks for various machine learning tasks using the trax library trax examples illustrated wideresnet ipynb at main saurav maheshkar trax examples

Fashion MNIST using Flax

GitHub - SauravMaheshkar/Fake-News-Classification: A Comparative Analysis of Different Approaches for Fake News Classification

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GitHub - SauravMaheshkar/CoxPH-Model-for-Primary-Biliary-Cirrhosis: This repository contains a software based on Cox Proportional Hazard Models for Regression Analysis of Primary Biliary Cirrhosis

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GitHub - SauravMaheshkar/Cross-Matching-Methods-for-Astronomical-Catalogs: 🌌🔭Cross-identification of astronomy sources across observations, instruments and telescopes.

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