Train a Deep Learning model for custom object detection using TensorFlow 1.x in Google Colab and convert it to a TFLite model for deploying on mobile devices like
Author: techzizou007
Training a model for custom object detection (TF 2.x) on Google Colab
In this tutorial, I will be training a Deep Learning model for custom object detection using TensorFlow 2.x on Google Colab. Following is the roadmap for it. Roadmap
Build a custom Image classification Android app using Teachable Machine
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Train an ML model for custom object image classification using Keras
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Build Android app for custom object image classification using Keras
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YOLOv4-darknet installation and usage on your system (Windows & Linux)
CONTENTS SECTION (A) Installing on Windows SECTION (B) YOLO Usage on Windows SECTION (C) Installing on Linux SECTION (D) YOLO Usage on Linux ( But first ✅Subscribe to
Install CUDA and CUDNN on Windows & Linux
CONTENTS CUDA & CUDNN FOR WINDOWS CUDA & CUDNN FOR LINUX ( But first ✅Subscribe to my YouTube channel 👉🏻 https://bit.ly/3Ap3sdi 😁😜) CUDA & CUDNN FOR WINDOWS STEP
Install OpenCV-DNN with Cuda backend in Google Colab
First, let’s check the default OpenCV version on Colab. Let’s Begin Step 1) Clone the latest OpenCV build from GitHub Step 2) Next, run the cmake command Set
Build Android app for custom object detection (TF 2.x)
Training a Deep Learning model for custom object detection using TensorFlow 2.x in Google Colab and converting it to a TFLite model for deploying on mobile devices like
Training a model for custom object detection using TensorFlow 1.x on Google colab
In this tutorial, I will be training a Deep Learning model for custom object detection using TensorFlow 1.x on Google Colab. Following is the roadmap for it. Collect