Children of color who have a strong understanding of their ethnic and racial identity have fewer instances of depression

Import Torchdash from the Tensordash package. Create a Torchdash object with the model name, email ID, and password as the parameters. Use the sendLoss() method of the object inside the training loop to send the model metrics to your account. Pass the loss, accuracy, validation loss, and validation accuracy metrics as parameters(Note that you have to add at least one metric). To get notified if your model crashes, add the training loop under exception handling, and in the except, call the sendCrash() method.

Import Customdash from the Tensordash package. Create a Customdash object with the model name, email ID, and password as the parameters. Use the sendLoss() method of the object inside the training loop to send the model metrics to your account. Pass the loss, accuracy, validation loss, and validation accuracy metrics as parameters(Note that you have to add at least one metric). To get notified if your model crashes, add the training loop under exception handling, and in the except, call the sendCrash() method.

Remote monitoring with fast.ai works through callbacks. Import Fastdash. Define a Fastdash object using the model name, your account email ID, and password as the parameters. Pass the Fastdash object via callbacks in the fit() function. To get notified if your model crashes, add the fit() function under exception handling, and in the except, call the sendCrash() method.

Flow is declarative (cold): a flow builder merely describes what the flow is, and it is only materialized when collected. However, a new Flow is effectively run (materialized) for each collector, meaning upstream (expensive) database access is redundantly and repeatedly run for each collector.

Import Customdash from the Tensordash package. Create a Customdash object with the model name, email ID, and password as the parameters. Use the sendLoss() method of the object inside the training loop to send the model metrics to your account. Pass the loss, accuracy, validation loss, and validation accuracy metrics as parameters(Note that you have to add at least one metric). To get notified if your model crashes, add the training loop under exception handling, and in the except, call the sendCrash() method.

If they ask me how I feel about their decision to pass for White, I’ll tell them the truth, but in the meantime, it’s not my job to live for them — no matter how embarrassed and ashamed I am for them. I will not demand anyone to identify as anything other than what they feel comfortable identifying as. But still, side-eye to the Racheal Dolezals.

TensorDash is a free to use open-source app that lets you remotely monitor your machine learning models through detailed graphs of all your metrics. It also notifies you when the training has been completed or if the model has crashed. It supports all the major machine learning frameworks like TensorFlow, Pytorch, Keras, and Fastai.

When was the last time you let your model train for hours and left the place, but your model had crashed halfway when you came back? This is frustrating and a complete waste of time. Since most people do not have the horsepower to train machine learning models locally, cloud services like GCP, Google Colab, AWS, and Azure are preferred where users pay as per their usage. In this case, if the model has crashed in-between training, you are paying for the service without using it. It will help you avoid FOMO if you are notified about your model status.

I have no regrets about having had children with an Asian woman. That was the only way I would have been blessed with the two perfect little humans that call me dad. I would be lying if I said it wasn’t challenging. I would be lying if I said I didn’t notice the side-eye some Black women gave me.

Some parents of bi-racial or multi-ethnic kids aren’t comfortable enough with their own identity to talk with their kids effectively about race and identity. They might even feel shame for being in (or having been in) a relationship with someone who was of a different race. If one parent is White, they might not have made peace with their racial privilege. Or worse yet, haven’t admitted this privilege exists for them.

Governments and regulators are worrying about third party cyber risk. They clearly regard the current approach as inadequate. Large organisations are also worried — but the scale of the task for overstretched teams is daunting. They are struggling to keep up with the threat for three key reasons.

Remote monitoring with Keras and tf.keras works using the callback function. Import Tensordash. Define a TensorDash object using the model name, your account email ID, and password as the parameters. Pass the TensorDash object via callbacks in the fit() function. To get notified if your model crashes, add the fit() function under exception handling, and in the except, call the sendCrash() method.

1. Prioritisation. The scale of the supply chain ecosystem for most companies is so large that they have no choice but to prioritise, trying to identify those suppliers that are ‘critical’. But traditional priority categories don’t necessarily work for cyber because they may not be where the risk comes from. The top tier of business critical suppliers will probably include household names, major cloud service or software providers who spend a lot on their security and are very good at it; but it may ignore the long tail of the supply chain where the threat may actually come from. These are likely to be smaller companies with very limited security capabilities and awareness.

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all the unicorns in the market, most of them have reached their valuation from finding product-market-fit for their product. Each startup has had a unique way of growing from bootstrapping to VC funding and some even through crowdfunding.

Imagine taking the time to list all of your ancestors’ ethnicities to a near stranger, forcing yourself to engage in the conversation when more often than not the person asking about your race likely has a monologue about race to share. And whatever it is they have to share is going to be racist as hell, but they are going to start by saying,