Scikit learn is used to visualize high dimensional data, and tsne is the reduction of nonlinear dimensionality technique used to visualize the data into dimensional space. The API of scikit learn will provide a class of tsne to visualize the data using the tsne method. In the below example, w...
In this section, we are going to look at how we can use the t-SNE practically for dimensionality reduction through implementation in python. Before implementation, we are required to know thatsklearnis a library that provides the function for implementing t-SNE under the manifold package. Let’...
Help! I don't know Python but I still want to use Scattertext Using Scattertext as a text analysis library: finding characteristic terms and their associations Visualizing term associations Visualizing phrase associations Adding color gradients to explain scores Visualizing Empath topics and categories Vis...
tuning block-wise effect on the CNN's performance, and that is where this study will come into use: where the effect of each block in three CNN architectures will be investigated to detect how deeply the CNN should be fine-tuned given that fine-tuning a CNN is very computationally ...