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From Desktop to Cloud: The Evolution of AI Training
This chapter explores the shift from personal desktop environments to cloud computing for AI model training, highlighting the enhanced computational power offered by platforms like Google and AWS. It delves into the mechanics of backpropagation in neural networks, explaining how models learn through parameter optimization. The conversation also touches on the implications of AI in various sectors, data preparation challenges, and resources for further learning, including a new certification program by TensorFlow.
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