Identify the no. of stems and stem location in images taken from rover

Classifies whether an image is of a dog or cat using pre-trained models

Using TensorFlow backend, multiple methods and their results to achieve best classification for CIFAR10 image dataset. Edit: I have also included a complete keras guide (Colab Notebook) to build CNN-single Layer, CNN-Multi Layer and Transfer learning based CIFAR10 classification.

Exploratory Data Analysis of Conference on Neural Information Processing Systems (1987-2017)

Google colab scene

It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

Understand the global trends in investments so that we can make the investment decisions effectively.

Some basic GIS Analysis with Geo pandas

eMNIST analysis, K-means, LDA, Linear Least Square Regression, PCA

Machine Learning Tokyo Tensorflow JS Workshop project

Implementation notebooks and tutorials for using interactive python visualizations using Plotly with Dash.

Classificação de Imagens

Coursework for mca507-neural-networks

Build your own custom image classifier

Generating Atari Images with WGANs in PyTorch

📚 Multi-class classification in IRIS dataset using Deep Neural Network

fork which provides IPython Notebook to use face-makeup with Google Colab

Repository containing examples of KNN Algorithm

A document classifier trained on tobacco dataset using DeepDoc classifier pre-trained from AlexNet.