Deep Learning A-Z: Neural Networks, AI & ChatGPT (training)

Colleagues, in the “Deep Learning A-Z: Neural Networks, AI & ChatGPT” program you will learn to create Deep Learning models in Python from two Machine Learning, Data Science experts. Code templates included. [188 lectures • 22+ training hours]. Understand the intuition behind Artificial Neural Networks. Apply Artificial Neural Networks in practice. Understand the intuition behind Convolutional Neural Networks. Apply Convolutional Neural Networks in practice. Understand the intuition behind Recurrent Neural Networks. Apply Recurrent Neural Networks in practice. Understand the intuition behind Self-Organizing Maps. Apply Self-Organizing Maps in practice. Understand the intuition behind Boltzmann Machines. Apply Boltzmann Machines in practice. Understand the intuition behind AutoEncoders. Apply AutoEncoders in practice. Skill-based training lessons include: 1) Artificial Neural Networks - ANN Intuition, Building an ANN, 2) Convolutional Neural Networks - CNN Intuition, Building a CNN, 3) Recurrent Neural Networks  - RNN Intuition, Building a RNN, Evaluating and Improving the RNN, 4) Self Organizing Maps - SOMs Intuition, Building a SOM, Mega Case Study, 5) Boltzmann Machines - Boltzmann Machine Intuition, Building a Boltzmann Machine, 6) AutoEncoders - AutoEncoders Intuition, Building an AutoEncoder, and 7) Get the Machine Learning Basics - Regression & Classification Intuition, Data Preprocessing, Data Preprocessing in Python, and Logistic Regression. 

Enroll today (teams & execs welcome): https://tinyurl.com/bdfe2548 

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