Epoch 245028

The stability of the optical Flux Variation Gradient for 3C120. 56899.395 16.502 9 0.245028. The multi-epoch flux data in any two different bands obtained on the same night show a very.

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An epoch usually means one iteration over all of the training data. For instance if you have 20,000 images and a batch size of 100 then the epoch should contain 20,000 / 100 = 200 steps. However I usually just set a fixed number of steps like 1000 per epoch even though I have a much larger data set. At the end of the epoch I check the average cost and if it improved I save a checkpoint.

Spent definition: Spent is the past tense and past participle of → spend. Meaning, pronunciation, translations and examples. Definition of spent. 1a: used up: consumed. B: exhausted of active or required components or qualities often for a particular purpose spent nuclear fuel. 2: drained of energy or effectiveness: exhausted. 3: exhausted of spawn or sperm spent fishes. Spent - drained of energy or effectiveness; extremely tired; completely exhausted; 'the day's shopping left her exhausted'; 'he went to bed dog-tired'; 'was fagged and sweaty'; 'the trembling of his played out limbs'; 'felt completely washed-out'; 'only worn-out horses and cattle'; 'you look worn out'. Spend is the general word: We spend more for living expenses now. Disburse implies expending from a specific source or sum to meet specific obligations, or paying in definite allotments: The treasurer has authority to disburse funds.

There is no difference between steps from one epoch to another. I just treat them as checkpoints.People often shuffle around the data set between epochs. I prefer to use the random.sample function to choose the data to process in my epochs. So say I want to do 1000 steps with a batch size of 32. I will just randomly pick 32,000 samples from the pool of training data.

A training step is one gradient update. In one step batchsize many examples are processed.An epoch consists of one full cycle through the training data. This is usually many steps. As an example, if you have 2,000 images and use a batch size of 10 an epoch consists of 2,000 images / (10 images / step) = 200 steps.If you choose our training image randomly (and independent) in each step, you normally do not call it epoch.

This is where my answer differs from the previous one. Also see my comment.