September 29, 2020 Deep Learning, Intermediate Leave a comment

A Quick History of Neural Networks

This article is part of the Data Science Blogathon. Introduction Neural networks are ubiquitous right now. Organizations are splurging money on hardware and talent to ensure they can build the most complex neural networks and bring out the best deep learning solutions. Although Deep Learning is a fairly old subset of machine learning, it didn’t get its due recognition until the early 2010s. Today, it has taken the world by storm and captured public attention in a way that very […]

September 29, 2020 Analytics Vidhya, Beginner, Career, Profile Building, Winners Approach Leave a comment

How I Became a Data Science Competition Master from Scratch

Overview Winning data science competitions can be a complex process – but you can crack the top 3 if you have a framework to follow Hear from a top data science hackathon expert and how he went from scratch to winning data science competitions Introduction There is no alternative to learning through experience. Especially in the data science industry! I recently won the top prize in Zindi’s Zimnat Insurance Recommendation challenge – an achievement that ranks top among my […]

September 29, 2020 Artificial intelligence Leave a comment

CodeXGLUE: A benchmark dataset and open challenge for code intelligence

According to Evans Data Corporation, there are 23.9 million professional developers in 2019, and the population is expected to reach 28.7 million in 2024. With the growing population of developers, code intelligence, which aims to leverage AI to help software developers improve the productivity of the development process, is growing increasingly important in both communities of software engineering and artificial intelligence. When developers want to find code written by others with the same intent, code search systems can help automatically […]

September 29, 2020 machine translation, NMT

Intuitive explanation of Neural Machine Translation

A simple explanation of Sequence to Sequence model for Neural Machine Translation(NMT) What is Neural Machine Translation?

September 29, 2020 machine translation, NMT

Implementing Neural Machine Translation with Attention mechanism using Tensorflow

A step by step explanation of Tensorflow implementation of neural machine translation(NMT) using Bahdanau’s Attention. In this article, you will learn how to implement sequence to sequence(seq2seq) To finish reading, please visit source site

September 29, 2020 machine translation, NMT

Neural Machine Translation: Using Open-NMT for training a translation model

A complete guide to learn translations between any language pairs

September 29, 2020 machine translation, NMT

Neural Machine Translation with Python

The embedding model’s validation accuracy ends at 0.8401. Model 3: Bidirectional RNNs

September 29, 2020 machine translation, NMT

Neural Machine Translation — Using seq2seq with Keras

Firstly we will go about training the network. Then we will look at the inference models on how to translate a given English sentence to French. Inference model (used for predicting on the input sequence) has a slightly different decoder architecture and we will discuss that in detail when we come there.

September 29, 2020 machine translation, NMT

Word Level English to Marathi Neural Machine Translation using Encoder-Decoder Model

The LSTM reads the data one sequence after the other. Thus if the input is a sequence of length ‘k’, we say that LSTM reads it in ‘k’ time steps (think of this as a for loop with ‘k’ iterations). Referring to the To finish reading, please visit source site

September 29, 2020 Machine Learning

What is Machine Learning?

Last Updated on August 16, 2020 You’re interested in Machine Learning and maybe you dabble in it a little. If you talk about Machine Learning with a friend or colleague one day, you run the risk of someone actually asking you: “So, what is machine learning?“ The goal of this post is to give you a few definitions to think about and a handy one-liner definition that is easy to remember. We will start out by getting a feeling for […]

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