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ChatGPT for Deep Learning with Python Keras and Tensorflow

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ChatGPT for Deep Learning with Python Keras and Tensorflow
ChatGPT for Deep Learning with Python Keras and Tensorflow

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

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Udemy Coupon Code for ChatGPT for Deep Learning with Python Keras and Tensorflow Course. Master Image Recognition, Time Series Prediction, Regression and Classification with ChatGPT! A Project-based Course.

Created by Alexander Hagmann | 14 hours on-demand video course

ChatGPT for Deep Learning Course Overview

ChatGPT for Deep Learning with Python Keras and Tensorflow

Welcome to a game-changing learning experience with “ChatGPT for Deep Learning using Python Keras and TensorFlow”.

This unique course combines the power of ChatGPT with the technical depth of Python, Keras, and TensorFlow to offer you an innovative approach to tackling complex Deep Learning projects. Whether you’re a beginner or a seasoned Data Scientist, this course will significantly enhance your skill set, making you more proficient and efficient in your work.

Why This Course?

Deep learning and Artificial Intelligence are revolutionizing industries across the globe, but mastering these technologies often requires a significant time investment (for theory and coding). This course cuts through the complexity, leveraging ChatGPT to simplify the learning curve and expedite your project execution. You’ll learn how to harness the capabilities of AI to streamline tasks from data processing to complex model training, all without needing exhaustive prior knowledge of the underlying mathematics and Python code.

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

Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize

Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize

Learn to create Deep Learning models in Python from two Machine Learning, Data Science experts. Code templates included.

Welcome to Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize Course. Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind’s AlphaGo beat the World champion at Go – a game where intuition plays a key role. But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that’s why it’s at the heart of Artificial intelligence.

Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT

Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

Welcome to Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT Course. Learn key AI concepts with intuition lectures to get you quickly up to speed with all things AI and practice them by building 7 different AIs:

  1. Build an AI with a Q-Learning model and train it to optimize warehouse flows in a Process Optimization case study.
  2. Build an AI with a Deep Q-Learning model and train it to land on the moon.
  3. Build an AI with a Deep Convolutional Q-Learning model and train it to play the game of Pac-Man.
  4. Build an AI with an A3C (Asynchronous Advantage Actor-Critic) model and train it to fight Kung Fu.
  5. Build an AI with a PPO (Proximal Policy Optimization) model and train it for a Self-Driving Car.
  6. Build an AI with a SAC (Soft Actor-Critic) model and train it for a Self-Driving Car.
  7. Build an AI by fine-tuning a powerful pre-trained LLM (Llama 2 by Meta) with Hugging Face and re-train it to chat with you about medical terms. Simply put, we build here an AI Doctor Chatbot.

But that’s not all… Once you complete the course, you will get 3 extra AIs: DDPG, Full World Model, and Evolution Strategies & Genetic Algorithms. We build these AIs with ChatGPT for a Self-Driving Car and a Humanoid application. For each of these extra AIs you will get a long video lecture explaining the implementation, a mini PDF, and the Python code.

Who this course is for

  • Beginners seeking to master real-life Data Science Projects in no time without the need to learn everything from scratch.
  • Data Scientists interested in boosting their work with Artificial Intelligence and Neural Networks
  • Everybody in a Data-related Profession wanting to leverage the power of ChatGPT for their day-to-day work.
  • Data Analysts seeking to outsource the most time-consuming parts of their work to ChatGPT.
  • Machine Learning / Deep Learning Wizards needing help and assistance for their models from ChatGPT.

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Taught by Alexander Hagmann

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