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In this video we go through how to code the GoogLeNet or InceptionNet from the original paper in Pytorch. I explain how the network works in the first couple of videos and then how to implement it from scratch.
Paper:
https://arxiv.org/abs/1409.4842
People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9
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For this video, I thought we could just chat about movies so let's dive into it! Make sure you have all notifications turned on and hit that SUBSCRIBE button to get all my #ASMR every week - thank you so much! #8K #movies
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DATA is available on the Trimble Learn platform: https://learn.trimble.com/lear....n/course/external/vi
This course is intended to introduce the Deep Learning (Convolutional Neural Network (CNN)) functionalities within the Trimble eCognition Developer Software and consists of 4 videos.
+ Introduction to Deep Learning 1 of 4: Introduction and Set-up
+ Introduction to Deep Learning 2 of 4: Creating Samples
+ Introduction to Deep Learning 3 of 4: Create / Train / Save CNN
+ Introduction to Deep Learning 4 of 4: Apply CNN with OBIA
This course is for free and can be conducted also with the Developer Trial version: https://geospatial.trimble.com/ecognition-trial.
Accessing this course from the Trimble Learn platform, you will have to create an account (also for free) and enroll to this course. Additionally to the DATA you will also receive a CERTIFICATE if you finish the course on the Trimble Learn platform.
Enjoy diving into eCognitions Deep Learning world!
______________Video Content_________________
00:00 - Introduction & Theory
04:13 - Create Project and load Data
05:32 - Rename Aliases
06:43 - Save Project
(⊙_☉)
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This Edureka video on "Introduction to Tableau" will tell you how powerful this data visualization tool is and how it works. Tableau is one of the "must learn" tool in today's IT world. This introductory video talks about:
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What is Tableau?
Tableau is one of the powerful and rapidly growing data visualization tools used in the Business Intelligence industry. It simplifies and provides a pictorial representation of raw data into an understandable format without technical and coding knowledge.
How does a beginner learn Tableau?
Tableau has become one of the most valuable technologies in demand. Edureka's Tableau eLearning Course is designed by compiling an extensive course on Tableau for beginners, which will help you learn how to build visualizations, design dashboards, and organize data to make smarter business decisions. This Tableau Certification course will prepare you for the Tableau Desktop Certified Associate exam.
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
github: https://github.com/krishnaik06..../Huggingfacetransfor
In this tutorial, we will show you how to fine-tune a pretrained model from the Transformers library. In TensorFlow, models can be directly trained using Keras and the fit method. In PyTorch, there is no generic training loop so the 🤗 Transformers library provides an API with the class Trainer to let you fine-tune or train a model from scratch easily.
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Cute Baby Animals 4K Video Ultra HD | Wildlife 4K UHD | Cinematic Video
There is nothing sweeter and more beautiful than children. Babies of all animals look very helpless, charming and funny.
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Learn how to use the OpenAI API to create five projects, including a ChatGPT clone, a DALL-E Image Creator, and a SQL Generator. This is a dive deep into the world of the OpenAI API, exploring its diverse capabilities and potential applications.
✏️ Course created by @AniaKubow
Donate to freeCodeCamp: https://www.freecodecamp.org/donate/
⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:02:57) Authentication
⌨️ (0:06:22) Models
⌨️ (0:07:27) Text Completions
⌨️ (0:18:31) Creating effective prompts
⌨️ (0:20:18) Chat Completions
⌨️ (0:30:14) Chat Completion Project 1 | JavaScript
⌨️ (1:15:41) Chat Completion Project 2 | React + Node.js
⌨️ (2:20:59) DALL-E Model
⌨️ (2:21:41) Image Generation
⌨️ (2:27:04) Image Variation
⌨️ (2:27:44) Image Edits
⌨️ (2:28:28) Image Generation Project 1 | JavaScript
⌨️ (3:00:29) Image Generation Project 2 | React + Node.js + openai npm library
⌨️ (4:23:39) SQL Generator Project | TypeScript + Node.js + openai npm library
⌨️ (5:17:00) The End
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First of all, we will understand what data science is. Data science is the field of study that works with massive amounts of data utilizing relevant tools and techniques to derive valuable data. Companies across various industries generate vast amounts of data, so its applications range all the way from education, healthcare, and entertainment to Finance and Marketing.
Data scientists operate in many different industries. Each has a distinct role to play in issue-solving and calls for specialist skills. These professions include data preparation, mining, modeling, and model management. Using machine learning algorithms, data scientists take raw data and turn it into a wealth of information that answers the use of machine learning algorithms.
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