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 intuitive introduction to Reinforcement Learning Reinforcement Learning(RL) is a very interesting sub-field of Machine Learning(ML). While other ML techniques rely on static input-output pairs to learn the hidden rules and then apply those rules on the unseen data to get the possible outcomes. A Reinforcement Learning algorithm tends to learn the best decisions automatically over time. RL… 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 »