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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.

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.

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.

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.

Package is namespace which contain multiple packages and modules itself. In this note, numpy, matplotlib, and pandas will be introduced.

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.

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.

While True Learn() is a puzzle/simulation game introducing machine learning. I think this game is trying to make you interested in machine learning by giving you random Machine Learning knowledge.

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.

In mathematics, a tensor is an algebraic object that describes a relationship between sets of algebraic objects related to a vector space. Objects that tensors may map between include vectors and scalars, and, recursively, even other tensors.