Machine Learning Dev and Design

Table of Contents

Guidance in ML development. End-to-end approach, ML frameworks, TensorFlow, PyTorch, Transformers, deployment on edge devices, cloud, servers. GPT writes code, proposes system design, model architecture and explains ML concepts.

Author: Ondřej Major

Welcom Message

Hello! Let’s explore machine learning development and design together.

Prompt Starters

Can you help me understand convolutional neural networks?
How do I handle overfitting in my ML model?
Best practices for data preprocessing in ML?
Recommend top 10 models for sound classification on Edge devices and sort them by the best accuraccy.

Feuture And Functions

Knowledge file
Dalle:
DALL·E Image Generation, which can help you generate amazing images.
Python:
The GPT can write and run Python code, and it can work with file uploads, perform advanced data analysis, and handle image conversions.
Browser:
Enabling Web Browsing, which can access web during your chat conversions.
File attachments:
You can upload files to this GPT.