Sample on front page:

const model = new KerasJS.Model({
  filepaths: {

filepaths in plural.
code for Model:

if (!filepath) {
      throw new Error('[Model] path to protobuf-serialized model definition file is missing.')
    }

Priority

Low

Issue Description

In the screenshot below, LAST MODIFIED shows Sat, 26 Oct 1985 08:15:00 GMT,which is incorrect.

Expected Results

LAST MODIFIED shows correct timestamp, so that users know when this file is modified.

Screenshots/Related files

![image](https://user-images.githubusercontent.com/25629006/52917615-75906980-32a2-11e9-8825-10885a5955d2

→ Step 1: Describe the issue 📝

bodypix returns error in p5js instance mode

→ Step 2: Screenshots or Relevant Documentation 🖼

→ Step 3: Share an example of the issue 🦄

https://editor.p5js.org/micuat/sketches/PYuow4Be3

• Web browser & version: chrome (but perhaps any)
• Operating System: windows (but perhaps any)
• ml5 version you're using: 0.5.0
• **Any addit

Please specify in the the Configuration section of the documentation that Windows users need to remove the SSH entry pertaining to 10.0.0.2 from C:\Users\CurrentUser.ssh\known_hosts every time they update pwnagotchi, since the newly generated keys won't match the one in the known_hosts file.

The Keras logo shows COMING SOON.
We already have a demo for it. We should update the logo to remove the COMING SOON

Since many ML tasks are done on a remote server (and possibly, the cloud), an option to prevent browser from opening should be added in the launch function.
Also , what about an upload option to test new images ?

We have a lot of repetitive instances in our data and it a simple Copy/Cut - Paste (Ctrl+C/X and Ctrl+V) function for bounding boxes would help speed up labelling by a lot!

Edit: Also multi-selection of multiple boxes/geometries would be great for a faster workflow

We need to create a separate dependencies list for react usage. Many react users won't need youtube-dl or ffmpeg libaries and we don't want things to be super bloated if they're using it as an npm module.

We should add some tutorials on managing artifacts/ projects in deepforge. It might be helpful for new users.

Error

File "./gen_client/gen_client.py", line 76, in gen_tensorflow_client
    if dtype == int(tf.int8) or dtype == int(tf.uint8) or dtype == int(

TypeError: int() argument must be a string, a bytes-like object or a number, not 'DType'

change

dtype = input_opname_dtype_map[opname]
if dtype in [6, 4, 5, 17, 3, 22]:
    default_value = 1
elif dtype in [9, 2

One thing a lot of libraries in machine learning miss out are proper full-scale examples. Nodejs is a part of the web community and the web community I can say aren't the best of programmers. So simple impossible-to-not-understand examples would make this library go very far.

Perhaps you meant this however as part of the better documentation though.

I also have a request for how to install t