Deep Learning

With the introduction of BERT in 2018, the machine became as capable of understanding natural language as an ordinary human being, making it feasible to sift through massive corpora of text data and extract meaningful information from it.

Speaker Identification is the process of identifying a person based on the audio of their spoken words. Previously, audio processing models were widely accepted, but convolution neural networks have lately demonstrated that they, too, may generate astounding outcomes.

GAN (Generating Adversarial Network) is about creating, like drawing but completely from scratch. It has got two models: the Generator and the Discriminator are put together into a game of adversary.

SISR(Single Image Super-Resolution) is an application of GAN. Image super-resolution is the process of enlarging small photos while maintaining a high level of quality, or of restoring high-resolution images from low-resolution photographs with rich information.

In statistical terms, time series forecasting is the process of analyzing the time series data using statistics and modeling to make predictions and informed strategic decisions. It falls under Quantitative Forecasting.

Nabil bank is a bank located in Nepal, it’s been trading in NEPSE(Nepal Stock Exchange ) for the past 20 years. We can easily get this data by going to the NEPSE website.

As most of today’s world has been digitalized, instead of writing transactions in journals people do it on their computers. In many cases, these transactions have important information about the parties involved in it, so business tries to acquire it by using many techniques.

Because most of today’s world has been digitalized, instead of recording transactions in journals, people record them on their computers. In many circumstances, these transactions contain critical information about the parties involved, thus businesses attempt to obtain it through a variety of means.

I have written an medium article examplaning the things that one need to consider when trying to train on your own messages. Please visit here: Code

I used my Facebook conversations to train the RNN model. So the model will aim to mimic how I converse with people, only by providing the initial character for an input, say ‘h,’ will generate an entire message beginning with the character ‘h,’ such as “how are you doing today?