Autoencoder Implementation on Tensorflow

Autoencoders are an unsupervised learning technique in which we leverage neural networks for the task of representation learningWith the new Tensorflow API, it has become …

Feature Map Visualization Using Tensorflow Keras.

It is a good idea to visualize the feature maps for a specific input image in order to to understand what features of the …

Sentimental Analysis Using Tensorflow Keras.

Recurrent Neural Network (RNN) model has been very useful to processing sequential data. Tensorflow Keras is a great platform to implement RNN as the …

Time Series Forecasting using Tensorflow Keras

Recurrent Neural Network (RNN) model has been very useful to predict time series data.. Training on Tensorflow Keras is a great platform to implement …

Stock Price Forecasting using LSTM

LSTM has been very useful to predict time series data. We have previously discussed about the time series forecasting using Pytorch Deep Learning framework …

Convert Categorical Features to Integers with Scikit Learn

Machine Learning requires all the categorical features to be numbers. Often we need to convert the categorical text to integers. We can readily do …

Comparison of LSTM, GRU and RNN on Time Series Forecasting with Pytorch

In this article, we will compare the performance of LSTM, GRU and vanilla RNN on time series forecasting using Pytorch Deep Learning platform. Given …

Compute differentiation easily using Pytorch Autograd

Pytorch comes with a super easy method to compute differentiation – autograd (automatic gradient). To illustrate the method, consider the following differentiation  \begin{align} …

Python

Python Decorator

Python decorator is callable that take in a function and modify the behaviour of the function without explicitly modify the function code. Let us …

K-D Tree Search Algorithm for SLAM

A K-D Tree (also called as K-Dimensional Tree) is a binary search tree where data in each node is a K-Dimensional point in space. …

Python

New Features in Python 3.8 and 3.9

Python 3.8 and 3.9 comes with some useful features. Some are listed here Merging DictionariesThe old style of merging Python dictionaries is using ** …