PinnedCanerHands-on TensorFlow 2.0: Multi-Label Classifications with MLPIn this article, the idea is to demonstrate how to use TensorFlow 2.0 for a multi-label classification problem. The jupyter notebook is…5 min read·Nov 24, 2019----
PinnedCanerHands-on Multivariate Time Series Sequence to Sequence Predictions with LSTM TensorFlow KerasI assume you already have prepared X_test, X_train,y_train and y_test datasets. One common mistake is that do not use shuffle the…3 min read·Mar 30, 2020--1--1
CanerProbability From The Bayesian perspectiveIn the absence of information, the uncertainty hits maximum. Thus, in the case of uncertainty, it is quite reasonable to assign the same…6 min read·Aug 26, 2020----
CanerBayes’s TheoremThe fundamental idea behind all Bayesian statistics is Bayes’s theorem, before we go into details we need to understand what is a…6 min read·Aug 5, 2020----
CanerHands-on TensorFlow 2.0If you are working on a supervised classification problem e.g. text or image classification and planning to use deep neural networks e.g…2 min read·Apr 15, 2020----
CanerHands-on TensorFlow Tokenizer for NLPIn this tutorial, I will describe how to use TensorFlow Tokenizer which helps to handle the text into sequences of numbers with a number…4 min read·Apr 2, 2020--1--1
CanerHow to Prepare the Input-set for LSTM Multivariate Time Series Sequence to Sequence PredictionsIf you are dealing with the multivariate time-series data to predict the values for next 10 hours then you need to be very careful…1 min read·Mar 30, 2020--1--1
CanerSelecting LSTM Hyperparameter TimestepsSelecting an optimal value for timesteps especially for LSTM models is another very important hyperparameter besides the batch size which…2 min read·Mar 25, 2020--2--2