ChatGPT for Deep Learning with Python Keras and Tensorflow

本课程《ChatGPT 实战深度学习：结合 Python、Keras 与 TensorFlow 实现图像识别、时间序列预测与模型优化》由 Alexander Hagmann 授课，通过项目驱动的方式，带你系统掌握如何借助 ChatGPT 高效完成数据科学与深度学习任务。

你将学习如何使用 ChatGPT 自动编写 Python 代码、构建与优化神经网络（FNN、CNN、RNN、LSTM），并完成图像识别、时间序列预测、回归与分类等常见任务。课程还涵盖数据加载、清洗、可视化、误差处理、模型评估与提示词设计策略，适合希望将 AI 助手融入数据项目的新手与有经验的数据分析师。无需深厚编程背景也能快速上手，让你以全新方式高效掌握深度学习技能。

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教程名称：ChatGPT for Deep Learning with Python Keras and Tensorflow

下载连结：https://www.nidown.com/chatgpt-49244.html

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英文原版介绍

Master Image Recognition, Time Series Prediction, Regression and Classification with ChatGPT! A Project-based Course.

What you’ll learn:

Utilize ChatGPT for real-life Data Science and Deep Learning projects
Let ChatGPT do the coding work for you (Python, Pandas, Keras etc.)
Use ChatGPT to select the most suitable Neural Network for your task
Utilize ChatGPT to analyse and interpret the outcomes of your Deep Learning models
Ask ChatGPT to critically assess and improve your Neural Networks
Perform an Explanatory Data Analysis with ChatGPT and Python
Use ChatGPT for Data Manipulation, Aggregation, advanced Pandas coding & more
Utilize ChatGPT to fit, evaluate and optimize FNN, CNN, RNN and LSTM models
Utilize ChatGPT for Regression and Classification tasks using Keras & Tensorflow
Utilize ChatGPT for Image Recognition
Utilize ChatGPT for Time Series Prediction
Use ChatGPT for Error Handling and Troubleshooting

Requirements:

An internet connection capable of streaming HD videos.
Some Data Science or Machine Learning related background (not required but it helps)
First Experience with Python and the Python Data Science Ecosystem (not required but it helps)

原创文章，作者：安生部落，如若转载，请注明出处：https://b.mincm.com/chatgpt-449121.html