Ijaz KhaninunpackFrom ANNs (Artificial Neural Networks) to RNNs (Recurrent Neural Networks)Artificial Neural Networks (ANNs)Jan 31, 2021Jan 31, 2021
Ijaz KhaninunpackWord Embeddings in Natural Language processing and Tabular DataIn the context of machine learning, an embedding provides a low-dimensional space into which high dimensional vectors are translated. In…Jan 18, 2021Jan 18, 2021
Ijaz KhaninunpackClassification & Regression in Machine LearningThere is often confusion among new Data Science students about the difference between classification and regression in machine learning…Jan 17, 2021Jan 17, 2021
Ijaz KhaninunpackPreseizing Techniques for Image Classification using FASTAIPresizing is the name given to the techniques of resizing and augmenting the data before feeding it to the machine learning models. Image…Jan 4, 2021Jan 4, 2021
Ijaz KhaninunpackReliability of Neural Classifiers and Adversarial Attacks!Are Neural models reliable? Are they robust enough to be used in productions? These days such questions about the robustness of Neural…Nov 28, 2020Nov 28, 2020
Ijaz KhaninunpackClass Imbalance problems in Deep LearningIn the data science world, when we have to deal with models training stuff, they face severe issues with data cleaning. Data cleaning…Nov 9, 2020Nov 9, 2020
Ijaz KhaninunpackData Cleaning in Deep Learning using FastAI!Without data, deep learning would not be a topic of discussion today, because data is the food for deep learning models. Deep learning…Oct 26, 20201Oct 26, 20201