Deep Learning

Collection by Leong Kwok Hing

457 
Pins
 • 
145 
Followers
Leong Kwok Hing
Python TensorFlow
deeplearning.ai
Javascript
PyTorch
R Keras
Python Keras
Other Pins

Python TensorFlow

Text Detection on Natural Scenes with Tensorflow Object Detection API

Text Detection on Natural Scenes with Tensorflow Object Detection API

I am interested in NLP so I have been playing with some exercises and projects related to, in recent days I saw several project with object detection so I decided to play with the tensorflow API, the…

Comprehensive Guide to Text Summarization using Deep Learning in Python

Text Summarization | Text Summarization Using Deep Learning

A complete guide for text summarization in nlp. Learn about text summarization using deep learning and how to build a text summarization model in Python.

Without GPU train custom object detection data set in an hour

custom object detection training without GPU in an hour

Ever since I heard machine learning, artificial intelligence, deep learning, I was so curious about learning it. For training locally on system one should follow plenty of steps starting from…

The TensorFlow 2.0 Implementation of Yolo V3 Object Detection Network

Using k-means Clustering with TensorFlow

Implementing k-means Clustering with TensorFlow

With code samples, this tutorial demonstrates how to use the k-means algorithm for grouping data into clusters with similar characteristics.

A Step-by-Step NLP Guide to Learn ELMo for Extracting Features from Text

What is ELMo | ELMo For text Classification in Python

ELMo is one of the best state-of-the-art frameworks to extract features from text. Learn what is ELMo and how to use ELMo for text classification in Python.

Training Google Inception for Custom Images in Less Than 5 Minutes

Training Google Inception for Custom Images in Less Than 5 Minutes

Looking for a quick tutorial on training your very first custom image classifier? Then Google Brain’s Inception API can do this in less time than it takes to finish a cup of coffee. In this tutorial…

Simple Tensorflow Cookbook for easy-to-use

deeplearning.ai

See more

Javascript

Machine Learning In Node.js With TensorFlow.js

Machine Learning In Node.js With TensorFlow.js

Machine Learning In Node.js With TensorFlow.js - TensorFlow.js is a new version of the popular open-source library which brings deep learning to JavaScript. Developers can now define, train, and run machine learning models using the high-level library API.

Time Series Forecasting with TensorFlow.js

Pull stock prices from online API and perform predictions using RNN & LSTM with TensorFlow.js (include demo and codes)

Machine Learning Libraries that can Make Web Applications Smarter

Machine Learning Libraries that can Make Web Applications Smarter

Web applications have come a long way. From the simple data capturing applications of the past they are now complex and dynamic.

Drawing with Voice - Speech Recognition with TensorFlow.js

When I was a kid every almost every superhero had a voice-controlled computer. So you can imagine how my first encounter with Alexa was a profound experience…

PyTorch

Introducing FastBert — A simple Deep Learning library for BERT Models

Introducing FastBert — A simple Deep Learning library for BERT Models

The little Sesame Street muppet has taken the world of Natural Language Processing by storm and the storm is picking up speed. We have seen a number of NLP problems solved by neural network…

Getting started with NLP using the PyTorch framework

Getting started with NLP using the PyTorch framework - KDnuggets

We discuss the classes that PyTorch provides for helping with Natural Language Processing (NLP) and how they can be used for related tasks using recurrent layers.

R Keras

Auto-Keras: Tuning-free deep learning from R

RStudio AI Blog: Auto-Keras: Tuning-free deep learning from R

Sometimes in deep learning, architecture design and hyperparameter tuning pose substantial challenges. Using Auto-Keras, none of these is needed: We start a search procedure and extract the best-performing model. This post presents Auto-Keras in action on the well-known MNIST dataset.

Python Keras

Deploying a Keras Deep Learning Model as a Web Application in Python

Deploying a Keras Deep Learning Model as a Web Application in Python

Building a cool machine learning project is one thing, but at the end of the day, you want other people to be able to see your hard work. Sure, you could put the whole project on GitHub, but how are your grandparents supposed to figure that out? No, what we want is to deploy our deep learning model as a web application accessible to anyone in the world.

Evaluating Keras neural network performance using Yellowbrick visualizations

Evaluating Keras neural network performance using Yellowbrick visualizations

If you have ever used Keras to build a machine learning model, you’ve probably made a plot like this one before: This is a matrix of training loss, validation loss, training accuracy, and validation…

How To Build a Deep Learning Model to Predict Employee Retention Using Keras and TensorFlow

How To Build a Deep Learning Model to Predict Employee Retention Using Keras and TensorFlow | DigitalOcean

Keras is a neural network API that is written in Python. TensorFlow is an open-source software library for machine learning. In this tutorial, you'll build a deep learning model that will predict the probability of an employee leaving a company.

Pedestrian Detection in Aerial Images Using RetinaNet

Pedestrian Detection in Aerial Images Using RetinaNet - KDnuggets

Object Detection in Aerial Images is a challenging and interesting problem. By using Keras to train a RetinaNet model for object detection in aerial images, we can use it to extract valuable information.

Other Pins

Training YOLOv3 : Deep Learning based Custom Object Detector

Training YOLOv3 : Deep Learning based Custom Object Detector

Tutorial for training a deep learning based custom object detector using YOLOv3. We provide step by step instructions for beginners and share scripts and data. ai,computer vision,deep learning,machine learning,object detector,yolo,yolov3

Introducing FastBert — A simple Deep Learning library for BERT Models

Introducing FastBert — A simple Deep Learning library for BERT Models

The little Sesame Street muppet has taken the world of Natural Language Processing by storm and the storm is picking up speed. We have seen a number of NLP problems solved by neural network…

Deploying a Keras Deep Learning Model as a Web Application in Python

Deploying a Keras Deep Learning Model as a Web Application in Python

Building a cool machine learning project is one thing, but at the end of the day, you want other people to be able to see your hard work. Sure, you could put the whole project on GitHub, but how are your grandparents supposed to figure that out? No, what we want is to deploy our deep learning model as a web application accessible to anyone in the world.

Text Detection on Natural Scenes with Tensorflow Object Detection API

Text Detection on Natural Scenes with Tensorflow Object Detection API

I am interested in NLP so I have been playing with some exercises and projects related to, in recent days I saw several project with object detection so I decided to play with the tensorflow API, the…

Comprehensive Guide to Text Summarization using Deep Learning in Python

Text Summarization | Text Summarization Using Deep Learning

A complete guide for text summarization in nlp. Learn about text summarization using deep learning and how to build a text summarization model in Python.

Build a Machine Learning Model in your Browser using TensorFlow.js and Python

Build Machine Learning Model Using TensorFlow.JS | Python

Build a machine learning model in your browser. In this article learn how to build machine learning models in your browser using Tensorflow.js and Python.

Supervisely: end-to-end web-platform for Deep Learning and Computer Vision

🔥Supervisely: end-to-end web-platform for Deep Learning and Computer Vision

The shortest path to AI product in Computer Vision: label images, manipulate data, train & deploy neural networks within end-to-end platform

Without GPU train custom object detection data set in an hour

custom object detection training without GPU in an hour

Ever since I heard machine learning, artificial intelligence, deep learning, I was so curious about learning it. For training locally on system one should follow plenty of steps starting from…

The TensorFlow 2.0 Implementation of Yolo V3 Object Detection Network

Building your private Cloud AI API - DeepStack.cc

Building your private Cloud AI API.

The quest to build smarter applications and software systems has never been as paramount as it is in this era, where emerging technologies like Artificial Intelligence becomes a major differentiating…

Machine Learning In Node.js With TensorFlow.js

Machine Learning In Node.js With TensorFlow.js

Machine Learning In Node.js With TensorFlow.js - TensorFlow.js is a new version of the popular open-source library which brings deep learning to JavaScript. Developers can now define, train, and run machine learning models using the high-level library API.

Using k-means Clustering with TensorFlow

Implementing k-means Clustering with TensorFlow

With code samples, this tutorial demonstrates how to use the k-means algorithm for grouping data into clusters with similar characteristics.

A Step-by-Step NLP Guide to Learn ELMo for Extracting Features from Text

What is ELMo | ELMo For text Classification in Python

ELMo is one of the best state-of-the-art frameworks to extract features from text. Learn what is ELMo and how to use ELMo for text classification in Python.

Evaluating Keras neural network performance using Yellowbrick visualizations

Evaluating Keras neural network performance using Yellowbrick visualizations

If you have ever used Keras to build a machine learning model, you’ve probably made a plot like this one before: This is a matrix of training loss, validation loss, training accuracy, and validation…

Time Series Forecasting with TensorFlow.js

Pull stock prices from online API and perform predictions using RNN & LSTM with TensorFlow.js (include demo and codes)

AutoML: The Next Wave of Machine Learning

AutoML: The Next Wave of Machine Learning

This post defines AutoML, explores its potential applications, and provides an overview of 7 useful tools for automating machine learning pipelines.