In many scenarios you need to create more custom training than what model.fit supports and what's great is that we can actually modify how a training step is done inside model.fit and increase the flexibility of training models. In this video I show how this can be done and add more flexibility, then in the next video I will show you how to build custom training loops completely from scratch for scenarios where even more flexibility is needed.

I learned a lot and was inspired to make these TensorFlow videos by the TensorFlow Specialization on Coursera. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
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TensorFlow Playlist:
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This is a clip from a conversation with Gary Marcus from Oct 2019. New full episodes every Mon & Thu and 1-2 new clips or a new non-podcast video on all other days. You can watch the full conversation here: https://www.youtube.com/watch?v=vNOTDn3D_RI
(more links below)

Podcast full episodes playlist:
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Note: I select clips with insights from these much longer conversation with the hope of helping make these ideas more accessible and discoverable. Ultimately, this podcast is a small side hobby for me with the goal of sharing and discussing ideas. For now, I post a few clips every Tue & Fri. I did a poll and 92% of people either liked or loved the posting of daily clips, 2% were indifferent, and 6% hated it, some suggesting that I post them on a separate YouTube channel. I hear the 6% and partially agree, so am torn about the whole thing. I tried creating a separate clips channel but the YouTube algorithm makes it very difficult for that channel to grow unless the main channel is already very popular. So for a little while, I'll keep posting clips on the main channel. I ask for your patience and to see these clips as supporting the dissemination of knowledge contained in nuanced discussion. If you enjoy it, consider subscribing, sharing, and commenting.

Gary Marcus is a professor emeritus at NYU, founder of Robust.AI and Geometric Intelligence, the latter is a machine learning company acquired by Uber in 2016. He is the author of several books on natural and artificial intelligence, including his new book Rebooting AI: Building Machines We Can Trust. Gary has been a critical voice highlighting the limits of deep learning and discussing the challenges before the AI community that must be solved in order to achieve artificial general intelligence.

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In this project I built a neural network and trained it to play Snake using a genetic algorithm.

Thanks for watching! Subscribe if you enjoyed and Share if you know anyone who would be interested!

GitHub Repo: https://github.com/greerviau/SnakeAI
Twitter: https://twitter.com/greerviau
Support me on Patreon: https://www.patreon.com/greerviau

Thanks to Josh Cominelli for the music!
Soundcloud: https://soundcloud.com/josh-cominelli

So how do you get started with machine learning and AI? What should you learn first? Well in this video I will be discussing the exact things you need to learn to get started with machine learning. I'll be talking about which language to learn, how much math you need and what ML algorithms to learn first.

⭐️ Thanks to Kite for sponsoring this video! Download the best AI automcolplete for python programming for free: https://kite.com/download/?utm_medium=referral&utm_source=youtube&utm_campaign=techwithtim&utm_content=how-to-get-started-with-machine-learning

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#AI #MachineLearning

Python vs C++|Difference between Python and C++ | Python Training| Edureka#shorts #ytshorts #viral #codinglife #programming #developers

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This Edureka's Microservices video on What are Microservices gives you an introduction to microservices and also shows the practical implementation of microservices with a demo.
Topics Covered:
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00:00:51 Before Microservices - Monolithic Architecture
00:02:14 Monolithic Architecture - Example
00:03:40 Monolithic Architecture - Challenges
00:07:26 What Is Microservice Architecture?
00:08:20 Microservice Architecture - Example
00:11:44 Features Of Microservice Architecture
00:12:57 Advantages of Microservice Architecture
00:14:20 Companies Using Microservices

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐨𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞 '𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎'): https://www.edureka.co
This Edureka video on Metaverse will help you fully comprehend and study metaverse.Through this video, we will understand how the computer screens we use to access to a worldwide web of information have evolved into portals to a physical, 3D virtual realm.Topics covered in this video :
What is Metaverse?
Is it a new concept?
How does it work?
Metaverse technologies
Metaverse companies

🔷 What is Metaverse?
Neal Stephenson, a science fiction author, first used the word "metaverse" in his 1992 book Snow Crash. In his book, Stephenson portrayed the metaverse as a large digital environment that coexists with the real world. Users can interact with other participants in a computer-generated world in the metaverse, a virtual reality environment. It will effectively serve as a 3D version of the internet in the long term.

🔷 Metaverse, Gaming and More
The gaming industry seems to have already embraced the metaverse, despite the fact that it is far bigger than a video game. Consider the online game Fortnite, where players create a unique avatar with which to connect and communicate with one another while also gathering virtual gold to purchase outfits and avatar enhancements. Engineers claim that the metaverse will take virtual reality to a new level by enabling users to float into the virtual world and do tasks like purchasing real estate, holding events, and even getting married using virtual avatars.

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🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.