In this project I have used Advanced DeepLearning techniques with keras to predict the probability of win and lose of college basketball tournaments.
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Updated
Jul 1, 2020 - Jupyter Notebook
In this project I have used Advanced DeepLearning techniques with keras to predict the probability of win and lose of college basketball tournaments.
Keras Total Visualization project
Project 3 of Term 1 in the Udacity Self Driving Car Nanodegree
This is a repository for the code and various numpy files that going along with the face recognition project.
A keras implementation of DCGAN to generate Pokèmon sprites.
Fitsbook React WebApp. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras.
Open Source Health Analysis
Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. First Version : Terminal.
TensorFlow in Practice Specialization
FitsBook Python Library. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras Framework.
Convolutional Neural Network Architecture to classify Bone Fractures from X-Ray Images
A Deep Learning Automation Framework Library based on keras, sklearn for the automation of the machine learning and deeplearning algorithms training.testing,metrics,comparative analysis and visualisations
Visualization techiques for deep learning neural networks using Keras
📉 Visualize your Deep Learning training in static graphics
Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.
Dogs-vs-Cats image classification
This is a model that has been trained on historical data obtained from Yahoo Finance. The data set comprises of all data records starting from the launch date of this stock in India (1996). This model aims to pick up key trends in the stock price fluctuations based on Time Series mapping. It is able to render predictions for the upcoming time pe…
Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. Accurately identifying and categorizing breast cancer subtypes is an important clinical task, and automated methods can be used to save time and reduce error. The goal of this script is to identify IDC when it i…
An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.
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