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Emmimal Alexander With neural networks evolving rapidly, many researchers are exploring alternative architectures beyond traditional deep learning models.

🔹 Are we reaching the limits of deep learning, or is there still untapped potential?
🔹 Can hybrid approaches (like neuro-symbolic AI) push neural networks to the next level?
🔹 What’s your take on the future—more depth or entirely new paradigms?NEURAL NETWORKS AND DEEP LEARNING WITH PYTHON A PRACTICAL APPROACH


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