Data Science, Supervised Learning, Ml So Good.
Intuition Behind Probabilities From Supervised Learning Understanding the underlying principles, going beyond just ‘softmax’ Why is an image 70% dog and 20% cat & 10% rabbit? How did the model training converge to this? Is there any theoretical basis, or does it happen by chance? Read on to find