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Introduction
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Classroom Contents
Introduction to the Text Recognizer Project - Full Stack Deep Learning - March 2019
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- 1 Introduction
- 2 Project Overview
- 3 Labs Outline
- 4 Github
- 5 Setup instructions
- 6 API folder
- 7 Serverless file
- 8 Data folder
- 9 Evaluation folder
- 10 ipython notebooks folder
- 11 Predictor files
- 12 Data sets
- 13 Models
- 14 Weights
- 15 Training Code
- 16 Setup
- 17 Deployment
- 18 Workflow
- 19 Structure
- 20 Lab 2 Setup
- 21 Weights Biases
- 22 Lab Structure
- 23 Jupiter Lab
- 24 Jupiter Notebook
- 25 MiniNIST
- 26 EMS Data Set
- 27 Load Data Set
- 28 Data Set Classes
- 29 Basic Network Code
- 30 Basic Model Code
- 31 Model Management
- 32 Character Model
- 33 Running Training
- 34 Running Tests
- 35 Model Architecture
