This project is to apply Convolutional Neural Networks (CNN) to recognize dog breeds.

Image Classification with 2D Convolutions, Deeplearning

A Simple Trained LeNET Model for handwritten digit recognition

Handwriting digit recognition using keras.Conv2D and MNIST database.

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

A repository for machine learning problems and exploration of different ML libraries. The goal of this repository is to collect takeaways while developing ML models. This should improve my overall understanding of developing machine learning applications.

Benchmarks across Deep Learning Frameworks in Julia and Python

🐱 A deep learning model using CNN to classify between cat and dog images

Reinforcement Learning with Actor-Critic to play Breakout-v4 (Atari) from OpenAI Gym

A FAST pure numpy based 1D, 2D, even n-dimensional convolution library.

MNIST is the de facto “hello world” dataset of computer vision. In this competition, our goal is to correctly identify digits from a dataset of handwritten images.

Image classifier application to classify flowers to 102 categories, using TnensorFlow hub and Conv2D

2D Convolutional Recurrent Neural Networks implemented in PyTorch

Mokka is a minimal Inference Engine for Dense and Convolutional 2D Layer Neural Networks. Written on a single C++ header, it uses AVX2

Deployed the super-resolution convolution neural network (SRCNN) using Keras. Recovers a high-resolution image from a low-resolution input.

Convolutional Neural Network to Classify Dogs and Cat. I built a ImageClassifier which classifies and tells you whether its a Dog image or a Cat image. I built a convolutional network which consists of Three Convolution layer and Three MaxPooling layer. Each Convolutional layer has filters, kernel size. Maxpooling layer has stride and pooling si…

Image classification based computer vision model CNN

In this project, used TensorFlow to build a neural network to classify road signs based on an image of those signs.

In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset.