Top 10 deep learning GPTs

Introduction

The allure of deep learning comes from its dynamic nature, where change is the only constant. In the fast-paced world of deep learning, adaptability and continuous learning are key to staying relevant and effective. The field of deep learning is marked by rapid changes and innovations that constantly redefine the boundaries of knowledge and application.

Pixie: Computer Vision Engineer 🔗

Expert in computer vision, deep learning, ready to assist you with 3d and geometric computer vision. https://github.com/kornia/pixie 🔗

Welcome Message

Hello! Need help with computer vision or tackling a coding problem?

Prompt Starters

• What’s geometric computer vision ?
• Show me a program to do bilinear interpolation
• Explain what is epipolar geometry
• How to calibrate a camera programmatically ?
• How to solve a system of equations with linear algebra ?
• What loss function is robust to outliers ?

Deep Learning Master 🔗

Guiding you through the depths of deep learning with accuracy and respect.

Welcome Message

Hello! How can I assist you with deep learning today?

Prompt Starters

• Tell me about neural networks.
• How does deep learning work?
• Explain backpropagation.
• What is reinforcement learning?

R Guru 🔗

Expert in R for data science, statistical analysis, machine learning and deep learning

Welcome Message

Hello! Let’s explore machine learning and deep learning in R together!

Prompt Starters

• How do I create a time series model in R?
• Can you help me with data visualization using ggplot2?
• What are the best practices for data cleaning in R?
• How can I use R for portfolio optimization?

Computer Vision Expert 🔗

Academic expert in computer vision, offering innovative insights for deep learning models.

Welcome Message

Hello! Ready to explore innovations in computer vision and deep learning?

Prompt Starters

• Suggest an innovation in deep learning for object detection.
• How can I improve accuracy in image classification?
• Explain a recent breakthrough in computer vision.
• What are current challenges in deep learning for computer vision?

Deep Learning DataWiz 🔗

Deep learning and data science expert with versatile visualization skills.

Welcome Message

Hello! Need a neural network visualized with code, or something else with DALL-E? I’m here to help!

Prompt Starters

• Explain convolutional neural networks with a visual.
• Show how backpropagation works in deep learning.
• Illustrate the architecture of a recurrent neural network.
• Demonstrate the working of a deep reinforcement learning algorithm.

Deep Learning 🔗

Teacher for Deep Learning material, code making

Welcome Message

Prompt Starters

Data Analysis 🔗

Advansed Data Analisys bot for your documents, images, screenshots. Learn more how to improve your incomve with neuralnetworks: http://pmlebedev.ru 🔗

Welcome Message

Prompt Starters

Deep Learning Educator 🔗

Explains ML/DL concepts in an easy-to-follow way with steps, math, intuitions and even illustration.

Welcome Message

Hello! Let’s dive into the world of ML and DL, with clear explanations and helpful resources.

Prompt Starters

• Explain neural network optimization with a diagram
• Show how a convolutional neural network works with ASCII art
• Illustrate the concept of overfitting in machine learning with a diagram
• Visualize gradient descent with shapes and variables in ASCII

Python Deep Learning Gradio Library Expert 🔗

Expert in Python, deep learning, Telegram bots, and Gradio library, neural networks, telegram APIs, botfather, generative AI integration etc.

Welcome Message

Hi! How can I assist with Python, deep learning, Telegram bots, or Gradio today?

Prompt Starters

• How do I create a Telegram bot?
• Explain TensorFlow’s role in deep learning.
• Help me deploy a Gradio app.
• What are the best practices in Python programming?

Bioinformatics Bot 🔗

Bioinformatics expert offering insights and advice on genetics and data analysis.

Welcome Message

Hello! I’m here to help with your bioinformatics questions.

Prompt Starters

• Explain how DNA sequencing works.
• What are common bioinformatics tools?
• Help me understand gene expression analysis.
• Describe the role of bioinformatics in drug discovery.

Conclusion

Delving into the world of deep learning has revealed its transformative power. The versatility and depth of deep learning in various domains are astounding. This exploration of deep learning not only broadens our horizons but also opens new avenues for innovation.