Certainly! The tf.expandDims() function in TensorFlow.js is used to modify the shape of a tensor by inserting an additional dimension at...

You may get all zero values for your tensors using tf.browser.fromPixels when using div/canva for loading your images

A model using transfer learning using mobilenet cannot just say if some has pneumonia, but also say if it is virus or bacteria!

We all know from Hollywood about the Titanic. What about from a data science perspective. They said women and children first.

Similar to python, in JavaScript we have a powerful way to analyze datasets called Danfojs

On chapter 9: Classification Models and Data Analysis. Attention to updates on the library danfojs. On book "const df = await...

Dataset is crucial for training. We are at the best moment ever, you can find datasets as you can find water on earth.

A very nice application of computer vision is identifying objects in photos!

One nice application of machine learning is object detection. One must identify all the objects in an image.

It is possible, with public models, find dogs and make a square on their face!

Luckily, we have a variety of options for object detection. Inception v3 is a very powerful option.

With little work, you can build apps to classify datasets into groups, called logistic regression.

You can use mobilenet, effortless, to detect objects. As one example, what about detecting trucks? you can change for the object you want!

Tensor is the building blocks in TensorFlow.js. Any problem should be transformed into tensors before being presented to the model.

tf.browser.toPixels allows one to plot images from tensors in tensorflow.js, pretty handy option