Install Tensorflow Object Detection From Scratch in 5 Steps - Python Deep Learning

Learn how to install the TensorFlow Object Detection API from scratch in five comprehensive steps. Follow along with this detailed tutorial video to set up a complete environment for deep learning object detection projects. Start with a fresh system and progress through installing Python via Anaconda, setting up Microsoft Visual Studio with C++ Build Tools, configuring CUDA and cuDNN for NVIDIA GPUs, installing Protoc for Protocol Buffers, and finally implementing the TensorFlow Object Detection API for use with Python. Gain practical insights into common installation challenges and solutions, ensuring a smooth setup process for your machine learning endeavors.

- Start
- Install Python using Anaconda
- Install Microsoft Visual Studio and C++ Build Tools
- Install CUDA and CUDNN for NVIDIA
- Install Protoc for Protocol Buffers from the official Github Repo
- Install Tensorflow Object Detection API for use with Python