In a warm winter sun, you sit at a cafe by the lake, open a browser on your laptop, log in the “notebook” in the cloud, type in a deep learning model you designed, press Run All, and continue to enjoy the breath-taking natural beauty in front of you. After a while, finish your coffee, the training results are already stored in your cloud account. The cloud-based deep learning notebooks allow you to have powerful computing power anytime, anywhere.

In 2021, there are 3 proven platforms that can bring you the above experience. They are all cloud solutions based on Jupyter notebook. …

When we finish writing a piece of Python code, it often does not run well normally. That’s when we need to debug the code. Although most IDEs provide support for code debugging, we will talk about 4 fundamental python debugging methods in this article.

1. Print( )

The simplest and most common debugging method is to use print() statements to print out the suspect variable in the terminal. Almost all programming languages can use print statement to debug.

Please see the following code:

After the code runs, check the values of the variable printed out in the terminal to find out the reason for the error — division by zero. …

Imagine that when you use a development tool to program, you only need to enter one or two letters, and the tool will auto-generate the following code for you. It sounds like a kind of magic. In recent years, with the development of deep learning, there is no longer a kind of science fiction, and some development tools have already the prototype of such.

From 2019 to 2020, two popular AI Code Autocomplete, TabNine and Kite, came to my attention. After a period of use, I decided to do a brief review of them to evaluate which one is more suitable for me. …

Disclaimer: This article is for education purposes only. I am only sharing my opinions with no guarantee of gains or losses. Your investments are solely your own responsibility. It is very important for you to conduct your own research or consult a financial adviser before you make any investment decisions.

As of this writing, Bitcoin price has crossed $19,000 and is expected to hit $20,000 in its 12-year history high by the end of 2020.

Bio

Hello there! I’m Jason Zhang, a software engineer.

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Google Cloud Platform provides us with a wealth of resources to support data science, deep learning, and AI projects. Now all we need to care about is how to design and train models, and the platform manages the rest tasks.

In current pandemic environment, the entire process of an AI project from design, coding to deployment, can be done remotely on the Cloud Platform.

I will demonstrate how to use Google Cloud Platform with GPU to build a deep learning environment from below four steps:

1. Create a VM instance with GPU
2. Set up Networking
3. Install Juypter Notebook
4. Install Nvidia CUDA

Step 1: Create and Starting a VM instance

Increase GPUs Quota

IMPORTANT: If you get the following notification when you create a VM that contains GPUs. …

By 2020, various deep learning models such as Transformer, BERT, and GPT-series make AI become smarter and smarter, using them can achieve many incredible tasks. On the hardware, Google launched Cloud TPU allows programmers to train these “Big” models at a reasonable cost.

In this article, I share how I built a Deep learning environment using Google Cloud Platform and Cloud TPU. And I also demonstrate running a BERT model task with this environment.

There are four parts in this article:

Part 1. Create a Deep Learning VM using the Google Cloud Console

Part 2. Create a Deep Learning VM using the command-line…

Visual Studio Code (VS Code) is a lightweight but powerful source code editor that is one of the most popular development tools among programmers.

In the last few years, I’ve mainly using VS Code to write python code, Javascript code, and markdown format documents.

As with other IDEs I’ve used with plug-in features, I like to install various plug-ins. This year, I noticed that I’ve installed over 40 extensions on my VS Code.

While these extensions gave me a novel experience, they also slowed down my VS Code and made the interface confusing. …