deadskull7 / Cats-Vs-Dogs-CNN-using-Keras-
The training set consisted of 25,000 images out of which 5,000 images were taken out as validation data. Separate test data folder consisted of 12,500 images for which the labels were predicted using trained model. My work includes preprocessing for model, Data augmentation to prevent overfitting, callbacks in keras to reduce learning rate timel…
☆14Updated 6 years ago
Alternatives and similar repositories for Cats-Vs-Dogs-CNN-using-Keras-:
Users that are interested in Cats-Vs-Dogs-CNN-using-Keras- are comparing it to the libraries listed below
- The Movie Reviews dataset. The dataset is imported from the NLTK libray. It has 1000 positive and 1000 negative reviews. I have first im…☆8Updated 6 years ago
- Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit…☆12Updated 5 years ago
- Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples.…☆12Updated 6 years ago
- Kaggle top performer(Grandmaster) had a score of 0.10021. I had a self validation score of 0.10874 and a public score of 0.12516. Rossman…☆15Updated 6 years ago
- The training dataset consists of 42000 rows each of 784 pixel values thus representing 28 x 28 sized 42000 images of different digits fro…☆11Updated 6 years ago
- Used the Dataset "MNIST Digit Recognizer" on Kaggle. Trained Convolutional Neural Networks on 42000 Training Images and predicted labels …☆15Updated 6 years ago
- The voices of different people are tested for 20 properties. These properties include mean-frequency, standard deviation, kurtosis, skew,…☆11Updated 6 years ago
- The famous Cats-vs-Dogs dataset. I have used a self laid ConvNet to classify the image into 2 classes either a Dog or a Cat. The images u…☆12Updated 6 years ago
- The dataset is Flower Recognition on Kaggle. The dataset consists of 4232 images each of different pixel values. Each of the image can be…☆21Updated 5 years ago
- The Red Wine Quality dataset from kaggle. Data is provided of the composition of the wine having different chemicals. I have used pandas …☆18Updated 6 years ago
- Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques☆62Updated 4 years ago
- Used Seaborn , Matplotlib ,Numpy , Pandas to Analyze and Visualize Different Types of Pokemons and their Relations with various Attribute…☆9Updated 6 years ago
- The product being developed is a mobile application for android operating system. It is an emotion and pain assessment tool and can be in…☆10Updated 6 years ago
- The data used for the challenge consist of records from 12,000 ICU stays. ICU stays of less than 48 hours have been excluded.Up to 42 var…☆12Updated 6 years ago
- Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.☆16Updated 6 years ago
- Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn…☆18Updated 6 years ago
- Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.☆75Updated 5 years ago
- BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from…☆103Updated last year
- Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on …☆53Updated 5 years ago
- This is a Flask app that can classify images of dog and cat. The underlying model is a CNN trained using Keras framework☆22Updated 6 years ago
- The code and other files related to the Udacity Artificial Intelligence Nanodegree Machine Translation project.☆10Updated 6 years ago
- Repo for Deep Learning Projects in NLP, GANs, Computer Vision☆19Updated 6 years ago
- Send files from Desktop to Mobile Application or Another Desktop .☆9Updated 5 years ago
- [Tutorial] Summarizing Text with Amazon Reviews☆25Updated 7 years ago
- Translating English sentences to Marathi using Neural Machine Translation☆37Updated 5 years ago
- Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amaz…☆37Updated 5 years ago
- Rank 1 / 216☆27Updated 4 years ago
- Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a baye…☆23Updated 6 years ago
- Image Captioning from scratch☆23Updated 6 years ago