Learning-C | A series of mini-projects used to learn C for beginners | Learning library

I need slugs of all articles on a page. I used bs4 to get href contents of all articles, but some article's link has another URL which I don't need it. I want to delete those items. I used this code:

I was messing around with c++ classes when I ran into an issue. I am trying to make a player class inherit from the Entity class and mix their constructors. The entity class has a constructor that requires you to provide the x position float and the y position float. I want the Player class to require x and y position too, but I also want the name to be required. How would I do this?

Here is my code:

I have had problems here, here and there installing TensorFlow 2 over the last year or so. So I am trying Miniconda.

I have an AMD Radeon hd 6670 and an AMD Radeon hd 6450.

I just downloaded Miniconda and made an environment and did a pip install --upgrade tensorflow in a Miniconda prompt on Windows 8.1 and got TensorFlow 2.2.

When I try to import tensorflow I get the stack trace below.

I did download Visual Studio to get the latest redistributebles (I think).

seems like this occurs near this line: from tensorflow.python.pywrap_tensorflow_internal import *

Edit 1: I used this yaml file for python 3.6 (the other was 3.7), but it produced the same error.

Edit 2: I upgraded to Conda 4.8.3 and Python 3.7 (in the yaml file) and got the same error. This is the line in pywrap internal that shows the problem:

i have a problem with url for images, this image url be like this:

I am hung up here trying to fix the problem here. https://app.pluralsight.com/guides/machine-learning-concepts-python-and-scikit-learn

I am hung up here and can somebody explain how to fix the problem?

I am creating a model somewhat similar to the one mentioned below: model

I am using Keras to create such model but have struck a dead end as I have not been able find a way to add SoftMax to outputs of the LSTM units. So far all the tutorials and helping material provides with information about outputting a single class even like in the case of image captioning as provided in this link.

So is it possible to apply SoftMax to every unit of LSTM (where return sequence is true) or do I have to move to pytorch.

I want to build a simple web app, where a person would enter some parameters of a car and my machine learning algorithm would predict the price of the car given the parameters. I want to learn aws and therefore want to deploy and host everything there.

By checking websites and tutorials I identified the following steps I need to do:

1. Collect data, train the model
2. Build Flask api around the pickled model to serve predictions
3. Create beautiful css/html front-end
4. Create a docker image
5. Push docker image to AWS ECR ad upload model artifact to S3
6. Creat Sagemaker prediction endpoint
7. Create an API endpoint with Chalice

What I don't understand is:

1. Why do I need to create a sagemaker endpoint (and Chalice endpoint) if I have already a flask endpoint that will predict the price? Cant I just spin-off the EC2 instance that will call flask endpoint and will give the prediction?
2. Are the steps I described the most efficient way to create a web app with ML model and deploy it to AWS?

Would be happy to learn about your opinion!

I am working with the book Deep Learning for Computer Vision with Python by Adrian Rosebrock. I am wondering why the results in scikit-learn is significantly different from the one implemented in the book. Please check the code here.

We currently have a 45mb CSV file that we're going to be loading into a Splunk kvstore. I want to be able to accomplish this via the python SDK but I'm running into a bit of trouble loading the records.

The only way I can find to update a kvstore is the service.collection.insert() function which as far as I can tell only accepts 1 row at a time. Being that we have 250k rows in this file, I can't afford to wait for all lines to upload every day.

This is what I have so far: