Articles About Deep Learning

October 31, 2020 Advanced, Algorithm, Computer Vision, Deep Learning, NLP, Python, Unstructured Data Leave a comment

A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision have been revolutionized by the attention mechanism We will learn how this attention mechanism works in deep learning, and even implement it in Python Introduction “Every once in a while, a revolutionary product comes along that changes everything.” – Steve Jobs What does one of the most famous quotes of the 21st century have to do with […]

October 29, 2020 Deep Learning, Image, NLP, Project, Python, PyTorch, Sequence Modeling, Supervised, Text, Unstructured Data Leave a comment

Automatic Image Captioning using Deep Learning (CNN and LSTM) in PyTorch

Introduction Deep Learning is a very rampant field right now – with so many applications coming out day by day. And the best way to get deeper into Deep Learning is to get hands-on with it. Take up as much projects as you can, and try to do them on your own. This would help you grasp the topics in more depth and assist you in becoming a better Deep Learning practitioner. In this article, we will take a look […]

October 29, 2020 Advanced, Deep Learning, NLP, Project, Python, Sequence Modeling, Supervised, Text, Unstructured Data Leave a comment

A Must-Read NLP Tutorial on Neural Machine Translation – The Technique Powering Google Translate

Introduction “If you talk to a man in a language he understands, that goes to his head. If you talk to him in his own language, that goes to his heart.” – Nelson Mandela The beauty of language transcends boundaries and cultures. Learning a language other than our mother tongue is a huge advantage. But the path to bilingualism, or multilingualism, can often be a long, never-ending one. There are so many little nuances that we get lost in the […]

October 29, 2020 Advanced, Algorithm, Deep Learning, NLP, Text, Unstructured Data Leave a comment

MobileBERT: BERT for Resource-Limited Devices

For a second, let’s focus solely on the teacher. If we continuing the path past the MHA-block, things remain the same compared to a vanilla transformer block until we reach the second “Add & Norm” operation. After this layer, we have a bottleneck transform, this time to reduce the dimension back to that of the input. This allows us to perform another Add & Norm operation with the transformer block input before feeding the result onto the next block. Stacked […]

October 17, 2020 Computer Vision, Datasets, Deep Learning, Image, Listicle, NLP, Research & Technology, Text, Unstructured Data Leave a comment

25 Open Datasets for Deep Learning Every Data Scientist Must Work With

Introduction The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from image processing to speech recognition. Each of these problem has it’s own unique nuance and approach. But where can you get this data? A lot of research papers you see these days use proprietary datasets that are usually not released to the general public. This becomes a problem, if you want to learn and apply your […]

October 17, 2020 Advanced, Algorithm, Deep Learning, NLP, Resource, Technique Leave a comment

Must-Read Tutorial to Learn Sequence Modeling (deeplearning.ai Course #5)

Introduction The ability to predict what comes next in a sequence is fascinating. It’s one of the reasons I became interested in data science! Interestingly – human mind is really good at it, but that is not the case with machines. Given a mysterious plot in a book, the human brain will start creating outcomes. But, how to teach machines to do something similar? Thanks to Deep Learning – we can do lot more today than what was possible a […]

October 17, 2020 Advanced, Deep Learning, NLP, Project, Python, Supervised, Text, Unstructured Data Leave a comment

Transfer Learning for NLP: Fine-Tuning BERT for Text Classification

Introduction With the advancement in deep learning, neural network architectures like recurrent neural networks (RNN and LSTM) and convolutional neural networks (CNN) have shown a decent improvement in performance in solving several Natural Language Processing (NLP) tasks like text classification, language modeling, machine translation, etc. However, this performance of deep learning models in NLP pales in comparison to the performance of deep learning in Computer Vision. One of the main reasons for this slow progress could be the lack of […]

October 11, 2020 Deep Learning, Intermediate, Listicle, NLP, Python, Technique Leave a comment

The Essential NLP Guide for data scientists (with codes for top 10 common NLP tasks)

Introduction Organizations today deal with huge amount and wide variety of data – calls from customers, their emails, tweets, data from mobile applications and what not. It takes a lot of effort and time to make this data useful. One of the core skills in extracting information from text data is Natural Language Processing (NLP). Natural Language Processing (NLP) is the art and science which helps us extract information from text and use it in our computations and algorithms. Given […]

October 11, 2020 Analytics Vidhya, Beginner, Deep Learning, Listicle, Machine Learning, NLP, Winners Approach Leave a comment

The Winning Approaches from codeFest 2018 – NLP, Computer Vision and Machine Learning!

Introduction Analytics Vidhya’s hackathons are one of the best ways to evaluate how far you’ve traveled in your data science journey. And what better way than to put your skills to the test against the top data scientists from around the globe? Participating in these hackathons also helps you understand where you need to improve and what else you can learn to get a better score in the next competition. And a very popular demand after each hackathon is to […]

October 11, 2020 Classification, Computer Vision, Deep Learning, Image, Libraries, NLP, Programming, Python, PyTorch, Supervised, Unstructured Data Leave a comment

Get Started with PyTorch – Learn How to Build Quick & Accurate Neural Networks (with 4 Case Studies!)

Introduction PyTorch v TensorFlow – how many times have you seen this polarizing question pop up on social media? The rise of deep learning in recent times has been fuelled by the popularity of these frameworks. There are staunch supporters of both, but a clear winner has started to emerge in the last year. PyTorch was one of the most popular frameworks in 2018. It quickly became the preferred go-to deep learning framework among researchers in both academia and the […]

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