How to build an age and gender multi-task predictor with deep learning in TensorFlow

Source: https://www.governmentciomedia.com/ai-takes-face-recognition-new-frontiers In my last tutorial, you learned about how to combine a convolutional neural network and Long short-term memory (LTSM) to create captions given an image. In this tutorial, you’ll learn how to build and train a multi-task machine learning model to predict the age and gender of a subject in an image. Overview…

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Building a Facial Recognition Pipeline with Deep Learning in Tensorflow

In my last tutorial , you learned about convolutional neural networks and the theory behind them. In this tutorial, you’ll learn how to use a convolutional neural network to perform facial recognition using Tensorflow, Dlib, and Docker. Overview Introduction to Facial Recognition Preprocessing Images using Facial Detection and Alignment Generating Facial Embeddings in Tensorflow Training an…

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Deep Learning CNN’s in Tensorflow with GPU’s

In my last tutorial, you created a complex convolutional neural network from a pre-trained inception v3 model. In this tutorial, you’ll learn the architecture of a convolutional neural network (CNN), how to create a CNN in Tensorflow, and provide predictions on labels of images. Finally, you’ll learn how to run the model on a GPU…

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Keras Inception V3 on Google Compute Engine

Inception V3 architecture Inception, a model developed by Google is a deep CNN. Against the ImageNet dataset (a common dataset for measuring image recognition performance) it performed top-5 error 3.47%. In this tutorial, you’ll use the pre-trained Inception model to provide predictions on images uploaded to a web server. Demo You’ll use: Keras for image prediction running…

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Recommendation Systems with Spark on Google DataProc

Recommendation Engines. Spark. Cloud Infrastructure. Big Data. Feeling overwhelmed with trendy buzzwords yet? In this tutorial, You’ll be learning how to create a movie recommendation system with Spark, utilizing PySpark. The tutorial will focus more on deployment rather than code. We’ll be deploying our project on Google’s Cloud Infrastructure using: Google Cloud DataProc Google Cloud Storage Google Cloud SQL…

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Node to Google Cloud Compute Engine

Node to Google Cloud Compute Engine in 25 Minutes Overview Introduction Setting Up Compute Engine Node in Production Closing Remarks + Next Steps Introduction I’m going to show you how to configure Google’s Compute Engine server to run your Node.js project in production in less than 30 minutes. Prerequisites: A google cloud platform account (Free credits for Students https://cloud.google.com/edu/)…

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Android RecyclerView Analytics

Android Impression Tracking In this tutorial, I will be teaching you about android impression tracking in a recycler view. Tracking impressions allows you to create data that can be used to analyze a user’s behavior e.g., screenviews, clicks, and impressions. Pre-requisites: Understanding of recycler view Understanding of ViewHolder pattern Basic understanding of handlers Overview: Visibility Tracker RecyclerView…

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React & Flux In ES6! (Pt 1/2)

I began learning react and flux a short time ago. As I searched the web for react, webpack, and flux, written in ES6, I failed to find a tutorial that had what I truly wanted. A tutorial I could run through start to finish that required minimal effort and met my search criteria. I was…

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