Generative Adversarial Networks - Basically
Generative Adversarial Networks (GANs) are a powerful type of neural network used for unsupervised learning. It involves automatically discovering and learning the regularities or patterns in input data in such a way that the model can be used to generate or output new examples that plausibly could have been drawn from the original dataset. GANs typically work with image data and use Convolutional Neural Networks, or CNNs, as the generator and discriminator models.
Python - Regular Expression Basics
A regular expression is a sequence of characters that define a search pattern. It is quite useful when come to data cleaning. Since Regex techniques are mostly used while string manipulating. They are a domain specific language (DSL) that is present as a library in most modern programming languages, not just Python.
Overview of CNN - Transfer Learning
Transfer learning is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. For example, knowledge gained while learning to recognize cars could apply when trying to recognize trucks.
Overview of CNN - Data Augmentation
Data augmentation is a strategy that enables practitioners to significantly increase the diversity of data available for training models, without actually collecting new data. Data augmentation techniques such as cropping, padding, and horizontal flipping are commonly used to train large neural networks.
Overview of CNN - Architectures
CNN is mainly used in Image Recongition and deal with visual data. CNN's predictive power is much higher than NNs especially when it comes to image related problems.
Overview of CNN - Basics
CNN is mainly used in Image Recongition and deal with visual data. CNN's predictive power is much higher than NNs especially when it comes to image related problems.
![You Can Impose Everyone Now [DeepFakes]](https://i.imgur.com/TWT7mXz.png)
You Can Impose Everyone Now [DeepFakes]
DeepFakes can now be created quickly and inexpensively, and they don’t require a trained scientist anymore. You can become everyone, with only his/her still image.
Python Common Packages & Modules
Package is namespace which contain multiple packages and modules itself. In this note, numpy, matplotlib, and pandas will be introduced.
Learning Resource - CNN for Beginner
Here are some Good Learning Resource I found from the Internet. In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery.
DNN - Code Examples Explained
The goal of the machine learning algorithm would be to find such values of parameters, so the output of the model is as close to the observated values as possible.