Topic: keras-visualization Goto Github
Some thing interesting about keras-visualization
Some thing interesting about keras-visualization
keras-visualization,TensorFlow in Practice Specialization
User: abidmuin
Home Page: https://www.coursera.org/specializations/tensorflow-in-practice
keras-visualization,Object classification with CIFAR-10 using transfer learning
User: alexisbcook
keras-visualization,Keras implementation of a ResNet-CAM model
User: alexisbcook
keras-visualization,A keras implementation of DCGAN to generate Pokèmon sprites.
User: arthdh
keras-visualization,Convolutional Neural Network Architecture to classify Bone Fractures from X-Ray Images
User: b-tao
Home Page: https://b-tao.github.io/X-Ray_Bone_Classifier/
keras-visualization,Recognition of the images includes train and tests based on Python.
User: basemax
keras-visualization,Utilities for Keras - Deep Learning library
User: cbaziotis
keras-visualization,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
Organization: deeproboticsresearch
keras-visualization,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.
User: dhanushkamath
keras-visualization,Project 3 of Term 1 in the Udacity Self Driving Car Nanodegree
User: drmerlot
keras-visualization,Visualization techiques for deep learning neural networks using Keras
User: ellolo
keras-visualization,Open Source Health Analysis
Organization: feramonics
keras-visualization,https://pypi.org/project/kviz/ Visualization library for keras neural networks. Contributions welcome
User: gallettilance
keras-visualization,In this project I have used Advanced DeepLearning techniques with keras to predict the probability of win and lose of college basketball tournaments.
User: gonnuru
keras-visualization,Dynamic visualization training service in Jupyter Notebook for Keras tf.keras and others.
User: hourout
keras-visualization,π Visualize your Deep Learning training in static graphics
User: jfilter
keras-visualization,K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.
User: joaopauloschuler
keras-visualization,Neural network visualization toolkit for tf.keras
User: keisen
Home Page: https://keisen.github.io/tf-keras-vis-docs/
keras-visualization,A Keras Model Visualizer
User: mahyar-amiri
keras-visualization,Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. First Version : Terminal.
User: maphdev
keras-visualization,Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.
User: maphdev
keras-visualization,Fitsbook React WebApp. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras.
User: nmcardoso
Home Page: https://nmcardoso.github.io/fitsbook
keras-visualization,FitsBook Python Library. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras Framework.
User: nmcardoso
Home Page: https://natan.ninja
keras-visualization,Layers Outputs and Gradients in Keras. Made easy.
User: philipperemy
keras-visualization,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 is present in otherwise unlabeled histopathology images. The dataset consists of approximately five thousand 50x50 pixel RGB digital images of H&E-stained breast histopathology samples that are labeled as either IDC or non-IDC. These numpy arrays are small patches that were extracted from digital images of breast tissue samples. The breast tissue contains many cells but only some of them are cancerous. Patches that are labeled "1" contain cells that are characteristic of invasive ductal carcinoma. For more information about the data, see https://www.ncbi.nlm.nih.gov/pubmed/27563488 and http://spie.org/Publications/Proceedings/Paper/10.1117/12.2043872.
User: scottherford
keras-visualization,
User: sidd0511
keras-visualization,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 period. The accuracy as obtained on the training data-set is about 90 percent and it successfully demonstrates key trends. It can be simulated on any stock in the market provided their historical data is made available. (One could use the yfinance API or download manually). Keras is used extensively along with Tensorflow for training. The model features 100 epochs of Base size 64. The training time depends on the hardware being used by the user. It is advisable to be performed on Google Colaboratory. For any issues/suggestions write to [email protected]
User: soms98
keras-visualization,ASCII summary for simple sequential models in Keras
User: stared
keras-visualization,Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
User: stared
Home Page: https://p.migdal.pl/livelossplot
keras-visualization,This is a repository for the code and various numpy files that going along with the face recognition project.
User: thenudibranch
keras-visualization,Dogs-vs-Cats image classification
User: wikke
keras-visualization,Using various CNN techniques on the MNIST dataset
User: yashk2810
keras-visualization,:tv: A Python library for pruning and visualizing Keras Neural Networks' structure and weights
User: yuvalailer
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