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For questions about Adam, a gradient-based optimization algorithm widely used to train neural networks. It was proposed in the paper "Adam: A Method for Stochastic Optimization" (2014) by Diederik P. Kingma and Jimmy Ba.

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Is it possible to use Mini-Batches with Adam optimization?

Is it possible/advised to use Mini-Batch like accumulation with Adam optimization? How would that works? … Do I accumulate the loss function for each sample in the batch and then run Adam, or should I divide the Loss by Number of samples in batch before running Adam? …
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Is my C# Adam implementation correct?

In example there is a C++ library that computes different Adam members also for Bias vector. … iPlusOneLayer.Gradients.Length; j++) sum += iPlusOneLayer.Gradients[j] * iPlusOneLayer.Weights[j][i]; iLayer.Gradients[i] = sum * iLayer.Derivates[i]; }); } Here's my Adam
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