Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.[3] It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions. However, Flask supports extensions that can add application features as if they were implemented in Flask itself. Extensions exist for object-relational mappers, form validation, upload handling, various open authentication technologies and several common framework related tools. Extensions are updated far more regularly than the core Flask program.

#FlaskDeepLearningModelDeployment

github url: https://github.com/krishnaik06..../Deployment-Deep-Lea

You can buy my book where I have provided a detailed explanation of how we can use Machine Learning, Deep Learning in Finance using python

url: https://www.amazon.in/Hands-Python-Finance-implementing-strategies/dp/1789346371/ref=sr_1_1?keywords=krish+naik&qid=1560675332&s=gateway&sr=8-1

Facial Keypoint Detection Kaggle Competition Solution! This solution is very simple but gives arelatively okay score and I share some thoughts on how you could improve it further (comparing with the winning solution).

Code (go to ML, Kaggle subdirectory): https://github.com/aladdinpers....son/Machine-Learning
Kaggle: https://www.kaggle.com/c/facia....l-keypoints-detectio


Timestamps:
0:00 - Introduction to competition
0:52 - Why?
1:22 - The data and the task
3:13 - Metric used
3:43 - A more in depth look at the data
7:24 - The steps of the solution
10:00 - Code: config
13:00 - Code: dataset
18:52 - Code: split_data
20:32 - Understanding submission format
21:57 - Code: utils
26:07 - Code: train/main file
31:22 - Fixing a small error
32:05 - Checking the score of submission
32:40 - How to improve it further?
34:55 - My 2 things to try for improving the score
35:15 - Ending & my thoughts on Kaggle

A true hybrid camera, Canon EOS Cinema meets EOS photography in the compact and lightweight EOS R5 C. In this video, Samuel Bouret gives us a hands-on overview of this 8K 60p RAW capable, 4K 120p Slow Motion, 45 Megapixel full-frame camera.

✘ Canon EOS R5 C Full-frame Cinema Camera
https://www.adorama.com/car5cb.html

Key Features:
► Video controls for the dedicated video professional
► Supports 8K/60P Internal RAW Recording
► Internal Cooling Fan Enables Non-stop 8K/60P Recording
► Expanded Interface for Professional Needs
► Carries on the Ergonomic EOS Design
► Full-featured 13 Assignable Buttons
► 8K Sensor and DIGIC X Processor
► Internal Cinema RAW Light up to 8K/60P
► Supports 8K HDR Recording (HLG/PQ)
► Wide Variety of Recording Formats
► Simultaneously Record Different Formats
► XF-AVC and MP4 Codecs for 10-bit 4:2:2 Video
► 4K and 2K Oversampling
► HDMI 8K RAW Output to Compatible Recorders
► Up to 4K 120P Slow and Fast Motion Recording Mode in 4:2:2 10-bit
► Simultaneous Audio Recording Enabled with HFR
► Canon Log 3 Expands Expressive Possibilities
► Enhanced Image Stabilization
► Canon VR with RF5.2mm F2.8 L Dual Fisheye Lens Support and Workflow
► Dual Pixel CMOS AF with iTR AF X
► High Still-Image Quality Featuring a 45 Megapixel Full-frame CMOS Sensor and DIGIC X Processor
► DIGIC X Image Processor with an ISO range of 100-51200; Expandable to 102400
► High-Speed Continuous Shooting of up to 12 fps with Mechanical Shutter and up to 20 fps Electronic (Silent) Shutter
► The Same Subject Detection and Tracking AF as the EOS R5, Even at Shooting Speeds as Fast as 20 fps
► AF Area Flexibility

→ Article:

Canon Launches New EOS R5C 8K Cinema Camera, and Firmware Updates to the EOS C7O
https://www.adorama.com/alc/ca....non-eos-r5c-cinema-c

SUBSCRIBE AND BE PART OF THE ADORAMA FAMILY:
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Be the first to shop our great deals and sales by signing up for emails from Adorama!
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✘ PRODUCTS USED:

DJI RS 2 Gimbal Stabilizer Pro Combo
https://www.adorama.com/djirs2sc2pc.html

Hollyland Mars 300 Pro Enhanced Dual HDMI Wireless Video Transmission System
https://www.adorama.com/hlymars3proe.html

Atomos Shogun 7 7" HDR Pro/Cinema Monitor-Recorder-Switcher
https://www.adorama.com/atomshg701.html

Arri SkyPanel S60-C LED Softlight, Blue/Silver, Edison - Manually Operated
https://www.adorama.com/ars60cmbls3m.html

Arri SkyPanel S120-C Manual LED Softlight with Edison powerCON Cable, 3m DC Cable, Standard Diffusion Panel, Blue/Silver
https://www.adorama.com/arl00012956.html

Arri SkyPanel S360-C 2800-10000K LED Soft Light with Standard Diffusion Panel, Manual Carbon Fiber Yoke and 9.8' powerCON 32A Edison Cable, Blue/Silver
https://www.adorama.com/ar0016325.html

Flashpoint eVOLV 200 Pro TTL Pocket Flash Kit - Godox AD200 Pro
https://www.adorama.com/fplfev200pro.html

Flashpoint XPLOR 600 HSS Battery-Powered Monolight with Built-in R2 2.4GHz Radio Remote System - Bowens Mount
https://www.adorama.com/fplfx600b.html

Flashpoint R2 Pro MarkII 2.4GHz Transmitter for Canon
https://www.adorama.com/fprrr2procii.html

Canon RF 50mm f/1.2L USM Lens
https://www.adorama.com/car5012.html

Canon RF 15-35mm f/2.8 L IS USM Lens
https://www.adorama.com/car1535.html

Canon RF 70-200mm f/2.8 L IS USM Lens
https://www.adorama.com/car7020028.html

#CanonR5C #8KCinema #Adorama

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Filmmaker: Samuel Bouret
https://www.instagram.com/samuelbouret

Dancer: Risa Mochizuki
https://www.instagram.com/risa10saiballet/

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THANKS SO MUCH FOR WATCHING!

AI/ML has been witnessing a rapid acceleration in model improvement in the last few years. The majority of the state-of-the-art models in the field are based on the Transformer architecture. Examples include models like BERT (which when applied to Google Search, resulted in what Google calls "one of the biggest leaps forward in the history of Search") and OpenAI's GPT2 and GPT3 (which are able to generate coherent text and essays).

This video by the author of the popular "Illustrated Transformer" guide will introduce the Transformer architecture and its various applications. This is a visual presentation accessible to people with various levels of ML experience.


Intro (0:00)
The Architecture of the Transformer (4:18)
Model Training (7:11)
Transformer LM Component 1: FFNN (10:01)
Transformer LM Component 2: Self-Attention(12:27)
Tokenization: Words to Token Ids (14:59)
Embedding: Breathe meaning into tokens (19:42)
Projecting the Output: Turning Computation into Language (24:11)
Final Note: Visualizing Probabilities (25:51)

The Illustrated Transformer:
https://jalammar.github.io/ill....ustrated-transformer

Simple transformer language model notebook:
https://github.com/jalammar/ja....lammar.github.io/blo

Philosophers On GPT-3 (updated with replies by GPT-3):
https://dailynous.com/2020/07/....30/philosophers-gpt-
-----


Twitter: https://twitter.com/JayAlammar
Blog: https://jalammar.github.io/
Mailing List: http://eepurl.com/gl0BHL


More videos by Jay:
Jay's Visual Intro to AI
https://www.youtube.com/watch?v=mSTCzNgDJy4


How GPT-3 Works - Easily Explained with Animations
https://www.youtube.com/watch?v=MQnJZuBGmSQ