The result of this feels increasingly like a democratic vacuum. We live in an era where voters have record levels of dis

Admittedly, I haven’t yet been accepted into all of these publications. But what’s wonderful about all of them is that they generally respond with feedback, whether it’s an acceptance or a rejection. And, in my experience, they’re also very encouraging about pitching again even if it’s a rejection.

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.

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.

Pitching process: Send all pitches to [email protected]. Pitches should consist of one to two paragraphs which outline the details of the story you’re proposing. Make sure that instead of pitching a general topic, you adopt a focused, unique, and original angle. Indicate who (if anyone) you plan to interview for the piece. Lastly, include in your email examples of your previous writing that pertain to the topic you’re pitching.

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.

Pay rate: Articles published on the site will earn you between $50 and $200 depending on the length of the article. For the print magazine, they pay between 30 and 50 cents per word, meaning a 1,000-word article would earn between $300 and $500.

To me, that’s extremely refreshing. Because there’s nothing more frustrating than being met with radio silence after you’ve poured your sweat and tears into crafting a good pitch.

To me, that’s extremely refreshing. Because there’s nothing more frustrating than being met with radio silence after you’ve poured your sweat and tears into crafting a good pitch.

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.

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.

What they publish: The Verge covers anything and everything related to technology, from new smartphones to the latest scientific innovations, as well as the many ways technology influences politics and our daily lives. They describe themselves as covering “the intersection of technology, science, art, and culture.” They especially welcome freelance pitches related to climate change, TV and movies, space exploration, health tech, culture, transportation, etc.

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e South Asian progressive dreamboat. He is good looking, educated, wealthy, Muslim and progressive. The sense I get is that people don’t want to criticise one of the few Brown men in power and more, a Brown man who is progressive in many ways. During a time when many South Asians in America seem to love fascist Modi, an American who shines the spotlight on oppression in other parts of the world is rare.

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.

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.