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Forwarded from DLeX: AI Python (Farzad🦅)
_Beginning_Django_Web_Application.pdf
10.6 MB
Beginning Django: Web Application Development and Deployment with Python 2 and Python 3

What You'll Learn

Get started with the Django framework
Use Django views, class-based views, URLs, middleware, forms, templates, and Jinja templates
Take advantage of Django models, including model relationships, migrations, queries, and forms
Leverage the Django admin site to get access to the database used by a Django project.
Deploy Django REST services to serve as the data backbone for mobile, IoT, and SaaS systems.
OOP

#کتاب #جنگو #پایتون

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Text Generation for Char LSTM models

Train a character-level language model on a corpus of jokes.

#Machine_learning #Training

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Machine Learning Behavioral Recognition to Support Neuropsychological Diagnosis of Cognitive Decline

#Neuropsychological

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Intro to Deep Learning with PyTorch By Facebook AI

Free Course

#Deep_Learning #DL #PyTorch

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Using a Keras LSTM Model to Predict Stock Prices



This tutorial illustrates how to get started forecasting time series with LSTM models. Stock market data is a great choice for this because it’s quite regular and widely available to everyone. Please don’t take this as financial advice or use it to make any trades of your own.

#ML

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Rules of Machine Learning: Best Practices for ML Engineering

#ML #Big_Data #Training

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teaser.gif
11.3 MB
VID2VID: Video-to-Video Synthesis

Pytorch implementation for high-resolution (e.g., 2048x1024) photorealistic video-to-video translation.

#Paper

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Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares

By Stephen Boyd and Lieven Vandenberghe, Cambridge University Press:

#ArtificialIntelligence #MachineLearning #Math

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Model evaluation, model selection, and algorithm selection in machine learning

#ML #AI #BigData #DL ##neuralnetworks

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Twenty things I wish I’d known when I started my PhD

Recommened By Jeff Dean and Russ Poldrack

#Paper

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New NLP News:

ML on code, Understanding RNNs, Deep Latent Variable Models, Writing Code for NLP Research, Quo vadis, NLP?, Democratizing AI, ML Cheatsheets, Spinning Up in Deep RL, Papers with Code, Unsupervised MT, Multilingual BERT


#NLP #ML #DL #Training #RNN #RL

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Free Book Online

Artificial Intelligence in Business Gets Real

By S. Ransbotham, P. Gerbert, M. Reeves, D. Kiron, and M. Spira
#book

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Twisted: Event-driven networking engine written in Python

https://www.twistedmatrix.com
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Finding Similar Quora Questions with Word2Vec and Xgboost
link
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Recurrent Neural Networks by Example in Python:
Using a Recurrent Neural Network to Write Patent Abstracts
link

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Predicting Professional Players’ Chess Moves with Deep Learning
link

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