Deep Learning
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An Introduction to TensorFlow and Its Applications
To boost performance in Google’s products and for research purposes, the Google brain team launched a project in 2011 to…
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GAN – Generative Adversarial Network in Unsupervised Machine Learning
The goal of deep learning is to investigate complex and stratified methods to describe the probability distribution across the various…
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Deepfake Technology – Examples and Threats
Modern digitalization has made the world more open to new technologies that can give people modern benefits and ease their…
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Learning Recurrent Neural Network, Applications, and its Role for Sentiment Analysis
RNNs are commonly used to investigate the sequence of data supplied in patterns, such as text recognition, various handwriting, spoken…
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Approaches for Detecting Fake and False News and CNN as a Deep Learning Model
Nowadays, social media is one of the most accessible news sources for many people worldwide. This, however, comes at the…
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7 Types of Activation Functions in Neural Network
The most important component of every deep learning neural network is its activation functions. Image categorization, language transformation, object detection,…
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