本课程通过项目驱动，结合 ChatGPT 帮助你高效完成深度学习任务。你将使用 Python、Keras 与 TensorFlow 构建并优化 FNN、CNN、RNN、LSTM 等模型，涵盖图像识别、回归、分类与时间序列预测等实战场景。ChatGPT 将辅助你进行数据预处理、模型选择、参数优化、结果解释与错误调试。适合具备基础数据科学知识的学习者，是提升 AI 应用开发与模型工程能力的实用进阶课程。
本教程为高质量英文原版视频课程，英文基础较弱的同学可通过翻译插件辅助学习。
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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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最便捷、最实惠的 ChatGPT Plus 升级服务来了！！！
点击查看详情：https://www.kkmac.com/go/chatgpt
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英文原版介绍
Published 6/2024
Created by Alexander Hagmann
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 190 Lectures ( 14h 31m ) | Size: 7.2 GB
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)
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