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08:58

How to Double Your Savings with Python

Learn how to save money and double your savings with the help of Python in this Finance Automation and Google Sheets API Python Tutorial Steve’s video: https://youtu.be/HvesR8SA3G4 Steve’s channel: @Steve Antonioni Code: https://github.com/python-engineer/google-sheets-finance-automation Find Python jobs: https://pythonengineer.pallet.com Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code […]
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11:02

HTTPX Tutorial – A next-generation HTTP client for Python

In this Python Tutorial we learn about HTTPX, a modern HTTP client for Python with async support. Resources: https://www.python-httpx.org/ https://www.twilio.com/blog/asynchronous-http-requests-in-python-with-httpx-and-asyncio Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN 📓 ML Notebooks available on Patreon: https://www.patreon.com/patrickloeber […]
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05:51

TensorFlow Serving client examples

Wei Wei, Developer Advocate at Google, walks through how to send REST and gRPC prediction requests to TensorFlow serving backend with Python and C++. Don’t worry if your client uses another language, below there are new sets of codelabs covering web, Android, Flutter, and iOS frontends. Codelabs Image Classification with TensorFlow Serving (Web) → https://goo.gle/3tQfqMb […]
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12:33

Schedule Python Scripts with GitHub Actions FOR FREE | Python Automation

Learn how to schedule Python scripts with GitHub Actions FOR FREE in this Python Automation tutorial! 💻Starter files: https://github.com/python-engineer/python-github-action-template 🎦 Cron job Tutorial: https://youtu.be/5bTkiV_Aadc ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN 📓 ML Notebooks […]
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12:03

File Organizing with Python: Rename, Move, Copy & Delete Files and Folders

Automate File Organization in Python: Learn how to Rename, Move, Copy & Delete Files and Folders. Code: https://github.com/python-engineer/python-fun Cron Job Tutorial: https://youtu.be/5bTkiV_Aadc Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer * ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN 📓 ML Notebooks available on […]
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45:06

Build & Deploy a Fitness App that sends daily E-mails | Python & HarperDB Tutorial

Build and deploy a fitness app that sends you new workouts per email every day using Python and HarperDB. HarperDB: https://studio.harperdb.io/sign-up?utm_source=patrickloeber * Code: https://github.com/python-engineer/fitness-app-python-harperdb Custom Functions code: https://github.com/python-engineer/harperdb-cloudfunction-example Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN 📓 ML Notebooks available on Patreon: https://www.patreon.com/patrickloeber If you enjoyed this video, please subscribe to […]
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8
25:09

Apply responsible AI principles when building remote sensing datasets

Learn how to apply responsible AI frameworks while making decisions related to datasets and coding with large-scale social benefit in mind. Walk through a version of the developer tutorial, “Hello [Dynamic] World,” and learn how to use a new dataset using Google Earth Engine data responsibly. Presented in collaboration with Google’s Geo for Good team. […]
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08:21

Federated Reconstruction for Matrix Factorization (Building recommendation systems with TensorFlow)

Looking to train models for on-device inference without gathering any sensitive user data? Developer Advocate Wei Wei talks about Federated Reconstruction for matrix factorization, a novel technique for building recommendation systems using TensorFlow Federated (TFF). Follow along as he takes you through a cross-device federated learning example. Resources: Federated learning video→ https://goo.gle/3qttKIM TensorFlow Federated → […]
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58:25

Build 5 Games in Python | Beginner Portfolio Project

Build a Mini Game App with 5 games in Python. This is a Python Beginner Tutorial and a great portfolio project! Hope you enjoy it 🙂 Replit: https://replit.com?utm_source=YouTube&utm_medium=influencer_ads&utm_campaign=YT_SEO&utm_term=&utm_content=python_engineer * My code: https://replit.com/@PythonEngineer1/Mini-Games-1 The Games: – Guess The Number Python – Rock Paper Scissors Python – Wordle Python – Connect Four Python – Tic Tac Toe […]
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37:14

Keras Preprocessing Layers

Google Software Engineer Matthew Watson highlights Keras Preprocessing Layers’ ability to streamline model development workflows. Follow along as he builds an end-to-end model showing what you can do with these layers. Chapters 0:00 – Introduction 1:18 – Identifying the problem 6:01 – What are Keras preprocessing layers 9:45 – Preprocessing layers that are offered 17:37 […]
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08:48

Introduction to TorchRec

Introducing TorchRec, a PyTorch domain library for Recommendation Systems. This new library provides common sparsity and parallelism primitives, enabling researcher to build state of the art personalization models and deploy them in production. Learn how to get started with this tutorial. Source of this PyTorch AI Video
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07:11

Introduction to TF Agents Bandits Library (Reinforcement learning with TensorFlow Agents)

Wei Wei, a Developer Advocate for TensorFlow, introduces the TF Agents Bandits Library and demonstrates how to solve a simple multi-armed bandit problem. Resources: Introduction to Multi-Armed Bandits → https://goo.gle/3uwFxZD Tutorial on Multi Armed Bandits in TF Agents → https://goo.gle/3uwFMUx A Contextual-Bandit Approach to Personalized News Article Recommendation (LinUCB) → https://goo.gle/3rAQIyB Introduction to Multi-Armed Bandits […]
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09:10

Continuous control and Actor-Learner API (Reinforcement learning with TensorFlow Agents)

Wei Wei, a Developer Advocate for TensorFlow, discusses continuous and discrete control, and walks through how to use the Minitaur environment to train a 4-legged robot to walk with the Actor-Learner API. Resources: SAC minitaur with the Actor-Learner API Tutorial → https://goo.gle/3oAa9FF TF Agents SAC example → https://goo.gle/35OzF3u TF Agents distributed training → https://goo.gle/3rzYj06 TensorFlow […]
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12:27

Recitation 0f | AWS (4/3) – Extra Tips

Connecting to AWS instances from VSCode Pem key permission configuration for Windows: https://superuser.com/questions/1296024/windows-ssh-permissions-for-private-key-are-too-open/1296046 Tmux cheatsheet: https://leimao.github.io/blog/Tmux-Tutorial/ YouTube Source for this AI Video
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09:48

Introduction to TF Agents and Deep Q Learning (Reinforcement learning with TensorFlow Agents)

Wei Wei, a Developer Advocate for TensorFlow, introduces TF Agents and walks through how to use the Deep Q Learning model to solve the cartpole environment. Resources: TensorFlow Agents homepage → https://goo.gle/34i7MAI Train a Deep Q Network with TF Agents Tutorial → https://goo.gle/3oz26ZQ TF-Agent DQN example → https://goo.gle/3HxmXnM Reinforcement Learning Lecture Series 2021 (DeepMind x […]
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07:08

Recitation 0f | AWS Fundamentals (1/3)

A basic overview of AWS and how to set it up. Detailed tutorial on AWS budgeting and cost management: https://www.youtube.com/watch?v=_MGcpT9a-xg How much vCPU limit should you request (Recommended is 16 or 32): https://www.youtube.com/watch?v=DsuxlkZ4PWM YouTube Source for this AI Video
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29:08

Proximal Policy Optimization is Easy with Tensorflow 2 | PPO Tutorial

Proximal Policy Optimization (PPO) has emerged as a powerful on policy actor critic algorithm. You might think that implementing it is difficult, but in fact tensorflow 2 makes coding up a PPO agent relatively simple. We’re going to take advantage of my PyTorch code for this, as it serves as a great basis to expand […]
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14:54

Basic Hyperparameter Tuning in DeepMinds ACME Framework

In today’s ACME deep reinforcement learning framework tutorial, I will showy ou how to do some basic hyperparameter tuning in their built in Deep Q Learning agent. Learn how to turn deep reinforcement learning papers into code: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-AUG-2021 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-AUG-2021 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-AUG-2021 Reinforcement Learning Fundamentals […]
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263
20:11

Create a Task Manager App for the Terminal with Python (Rich, Typer, Sqlite3)

In this Python Tutorial we learn how to build a terminal application (CLI app) to manage our tasks and todos. We use Typer for building the CLI app, Rich for a colorized terminal output, and SQLite for the database. Get my Free NumPy Handbook: https://www.python-engineer.com/numpybook ✅ Write cleaner code with Sourcery, instant refactoring suggestions in […]
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215
24:19

A friendly introduction to distributed training (ML Tech Talks)

Google Cloud Developer Advocate Nikita Namjoshi introduces how distributed training models can dramatically reduce machine learning training times, explains how to make use of multiple GPUs with Data Parallelism vs Model Parallelism, and explores Synchronous vs Asynchronous Data Parallelism. Mesh TensorFlow → https://goo.gle/3sFPrHw Distributed Training with Keras tutorial → https://goo.gle/3FE6QEa GCP Reduction Server Blog → […]
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22
25:46

Getting Started with Encryption in 2022

When you think of encryption you probably think of highly comjplex algorithms like SHA-256, but you can actually get unbreakable encryption with only a few lines of python. We’ll see how in this tutorial. We are going to cover 3 of the fundamental algorithms in encryption: the Caesar cipher, the Vignere cipher, and the one […]
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26:44

How to Code RL Agents Like DeepMind

DeepMind is known for leading the way in deep reinforcement learning research. Creating novel agents to conquer the most advanced environments requires the use of some sophisticated infrastructure. Fortunately for us mere mortals, they’ve open sourced their framework for designing deep reinforcement learning agents: ACME. In ACME, you’ll find everything from deep Q learning all […]
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02:11:19

SingularityNET: OpenNARS Tutorial and Overview – Peter lsaev

The AGI Society has organised its 13th Artificial General Intelligence Conference this year online. The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of […]