Let’s undercover what they will be the Top 10 NLP trends of 2019.
Building Your First ConvNet
This post is to help you get up to speed on training ConvNet models in the cloud without the hassles of setting up a VM, AWS instance, or anything of that sort. You’ll be able to design your own classification task with lots of images and train your own ConvNet models.
Building Your First ConvNet
Generating Six-Pack Abs With TensorFlow pix2pix
Visualizing results can be a powerful form of motivation and preparation. However, in the fitness domain, it can often be difficult to clearly see this future outcome.
Source: blog.floydhub.com/generating-six-pack-abs-with-tensorflow/
Generating Six-Pack Abs With TensorFlow pix2pix
Creating Datasets from Public URLs
We’re trying to make it easier to discover and use interesting datasets.
Source: blog.floydhub.com/creating-datasets-from-public-urls/
Creating Datasets from Public URLs
Teaching My Robot With TensorFlow
In this post, I’m going to show you how you can teach your own Cozmo to recognize everyday objects using transfer learning with TensorFlow.
Source: blog.floydhub.com/teaching-my-robot-with-tensorflow/
Teaching My Robot with TensorFlow
Generating Commencement Speeches with Markov Chains on FloydHub
Generate your own commencement speeches using Markov chains in Python.
Source: blog.floydhub.com/markov-chains/
Generating Commencement Speeches with Markov Chains on FloydHub
Automate FloydHub with Celery
Ubidots is an Internet of Things (IoT) data analytics and visualization company. We transform sensor data into information that powers business decisions, and we’re using FloydHub to build and launch our latest feature – detecting anamolies from images captured by IoT devices. This way, the entire object detection pipeline is automated using celery and requires no manual intervention by our engineers.
Automate FloydHub with Celery
Asking questions to images with deep learning: a visual-question-answering tutorial
In this deep learning tutorial, we’ll build Visual Question Answering (VQA) model that allows people to ask open-ended, common sense questions about the visual world.
Source: blog.floydhub.com/asking-questions-to-images-with-deep-learning/
Asking questions to images with deep learning: a visual-question-answering tutorial
Practical guide to hyperparameter searching in Deep Learning
Learn techniques for identifying the best hyperparameters for your deep learning projects, including code samples that you can use to get started.
Source: blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/
Practical guide to hyperparameter searching in Deep Learning
How to code The Transformer in PyTorch
Learn how to code a transformer model in PyTorch with an English-to-French language translation task.
