Enroll Course: https://www.udemy.com/course/django-ai-app/
This comprehensive Udemy course, “【画像判定AIアプリ開発パート2】Django・TensorFlow・Python・転移学習による高精度AIアプリ開発” (Part 2: AI Image Classification App Development with Django, TensorFlow, Python, and Transfer Learning), offers a deep dive into creating sophisticated AI-powered web applications. Building upon previous courses on TensorFlow and image classification with Flask, this course guides you through developing an AI web app using Python’s Django 2.2 framework.
**What You’ll Learn:**
The course focuses on generating an image classification model using TensorFlow (Keras) and integrating it into a Django application. You’ll learn to build an app that can classify uploaded images, determining if they depict a car or a motorcycle. A key highlight is the implementation of transfer learning with the VGG-16 model, which significantly boosts identification accuracy – the course boasts a 100% accuracy rate for car and motorcycle classification, suggesting the potential for creating practical, high-performing models for other datasets.
The curriculum covers the entire development process step-by-step:
1. **Environment Setup and Data Collection:** Get your development environment ready and gather necessary data.
2. **Data Preprocessing:** Learn data cleaning, conversion to NumPy arrays, and file saving.
3. **AI Model Development:** Build AI models using CNNs and transfer learning, save model files, and define, train, and infer with models using TensorFlow’s built-in Keras. You’ll also cover data normalization and command-line app creation with Python 3.
4. **Web Application Development with Django:** Integrate your AI model into a Django application, including image file uploads, inference using Keras models, displaying uploaded images, and presenting estimation results. The course also utilizes Bootstrap 4 for a sleek, modern user interface.
**Course Connections:**
This course is a direct continuation of “TensorFlow Experience Course” and “Build Your Own Image Classification AI with Keras.” Prior knowledge from the TensorFlow course is recommended for a better understanding of neural network learning. For those interested in other AI domains, the instructor suggests exploring courses on Natural Language Processing, Reinforcement Learning, GANs, building neural networks from scratch, Kaggle challenges, and object detection.
**Important Notes:**
Be aware that performance may vary depending on your internet connection and machine specifications. The instructor encourages users to re-run processes if issues arise and to utilize the Q&A section for support. This course is not recommended for individuals who prefer text-based learning; platforms like Techpit are suggested for such learners. Enterprise and educational institution use of course content is supported, with inquiries welcome via message.
Enroll Course: https://www.udemy.com/course/django-ai-app/