Sentiment classification is a common task in Natural Language Processing(NLP). There are various ways to do sentiment classification in Machine Learning (ML). In this article, we talk about how to perform sentiment classification with Deep Learning (Artificial Neural Networks). In my previous two articles, We have already talked about how to perform sentiment analysis using different traditional machine… Read More »
Overview Training a Deep Learning model (or any machine learning model in fact) is all about bringing the model predictions (model output) close to the real output(Ground truth) for a given set of input-output pairs. Once the model’s results are close to the real results our job is done. To understand how close model predictions are with respect… Read More »
Deep Learning models are great at solving extremely complex tasks efficiently but this superpower comes at a cost. Due to a large number of parameters, these models are typically big in size(memory footprint) and also slow in the inference (during predictions). Slow and heavy models are not much appreciated when it comes to the deployment part. As we… Read More »
Deep Learning is part of the Machine Learning family that deals with creating the Artificial Neural Network (ANN) based models. ANNs are used for both supervised as well as unsupervised learning tasks. Deep Learning is extensively used in tasks like-object detection, language translations, speech recognition, face detection, and recognition..etc. Let’s create our First Neural Network with PyTorch- In… Read More »
Overview PyTorch is a deep learning framework developed by Facebook’s AI Research lab(FAIR) about four years ago (in 2016). This PyTorch framework was designed to make our machine learning and deep learning project journey super fast and smooth. Pytorch is written in Python, C++, and CUDA and is supported across Linux, macOS, and Windows platforms. It also has… Read More »
An introduction to audio data analysis (sound analysis) and Speech Recognition using python Overview A huge amount of audio data is being generated every day in almost every organization. Audio data yields substantial strategic insights when it is easily accessible to the data scientists for fuelling AI engines and analytics. Organizations that have already realized the power and… Read More »
when, why and how of ‘ Beam Search ‘ and LM decoding Whenever Image Processing, Audio data Analysis or Natural language processing (NLP) tasks are concerned, Deep learning has proved to be an ideal choice and has shown outstanding outcomes. Neural Network-based model architectures are really good at understanding complex patterns as well as generating meaningful and realistic… Read More »
A simple approach to predict future frames in video (PUBG) data using Python Introduction : It is impossible to predict the future! ( Unless you have a time stone -:) ). But predicting the immediate future is not very hard for us (Humans). We do it in the real-life quite often — while playing a game or watching a movie one can… Read More »