akshpreetsingh988 Goto Github PK
Name: Aksh
Type: User
Location: Hoshiarpur ,Punjab,India
Name: Aksh
Type: User
Location: Hoshiarpur ,Punjab,India
This project classifies audio , using Deep Learning modelDeployed Model using Flask API Uses URBANSOUND8K Dataset
The model consists of 2 parts, the encoder and decoder. I employed the notion of transfer learning for the encoder section of the model and used the pretrained VGG19 model as the encoder. I experimented with the 'rmsprop' and 'adam' optimizers. Adam's convergence was better than rmsprop's. The model is deployed using the Streamlit API.
Competition Description MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike. In this competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. We’ve curated a set of tutorial-style kernels which cover everything from regression to neural networks. We encourage you to experiment with different algorithms to learn first-hand what works well and how techniques compare.
DrumKit project made with html, css, javascript
All important DSA questions i solved
Predict sales prices and practice feature engineering, RFs, and gradient boosting
A button appears over every image on the web page and you can get the source target of the image from there.
Image Caption Generation Using Deep Learning
Collection of solution for problems on InterviewBit
This repository contains the Basic programs for beginners , including Patterns, operators , loops, functions, arrays, character arrays, and basic searching sorting algos
Contains the task 2 , 3 for JPMC
ML assignments
https://github.com/campusx-official/movie-recommender-system-tmdb-dataset
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