abbanso10

0-day streak
#motivation
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#motivation
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#motivation
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#motivation
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Grab it!
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It’s time to party and make your birthday as special as you are! I hope your day is fantastic, and the year ahead even better still. Happy birthday! @zrl
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Wishing a very happy Independence Day to our friends in Nigeria
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All the hardware arrived today. I'll start working on the project. I sincerely appreciate   @roshan,, @sampoder and all the SOM team Thank you so so much!
I got my first delivery I'm so excited. Thank you so much  @roshan @sampoder,, and the complete SOM team for making this possible!
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#motivation
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#Deep learning
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#motivation
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#motivation
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#motivation
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#motivation
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#motivation
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#Model Training
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#motivation
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#motivation
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#motivation
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#motivation
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#motivation
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Let's take some action now
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#motivation
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#motivation
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#motivation
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𝗧𝗶𝗺𝗲 𝗵𝗮𝘀 𝗻𝗼 𝗵𝗼𝗹𝗶𝗱𝗮𝘆, 𝗗𝗿𝗲𝗮𝗺𝘀 𝗵𝗮𝘃𝗲 𝗻𝗼 𝗲𝘅𝗽𝗶𝗿𝘆 𝗱𝗮𝘁𝗲. 𝗔𝗻𝗱 𝗟𝗶𝗳𝗲 𝗵𝗮𝘀 𝗻𝗼 𝗣𝗮𝘂𝘀𝗲 𝗕𝘂𝘁𝘁𝗼𝗻.
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Finally done with my AI course from Microsoft foundation scholarship
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Design Picrew
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Done with views
Done with the DataBase today payment app
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Removing the polaroid filter from your phones would give you your own magic glasses. Privacy taken to another level! What do you all think? for one, would try this with the old unused cell phones at my place : Phones emit display light, where the colors of each object are along with the white light. The white light covers the display light and humans are only able to see a white screen. That's the reason smartphones have a thin film called the Polarizer which limits the wavelengths and the white light is diminished, and we are able to see different colors. There are some major loopholes. To see icons at their true size and contrast, glasses are needed to be kept at a specific distance from both phone and eyes, wearing the glasses won't work. It would be like looking at the screen with your eyes at 1 cm from it. Though that can be corrected by adjusting the curvature of the lens. But still, the distance between the lens and the screen would make the icons too blurry and distorted after like 5-6 cm from the screen.
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Design stock price predict API
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Host online workshop live with our great speaker Ramesh mahalingam
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Deploying my models to azure cloud
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Attend IoT Tribe Accelerating Global Deeptech Innovations in Asia
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implementing neural network on computer vision
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Doing my course Training Neural Network
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#motivation
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Doing My Deep-learning Course on Googlecolab
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interface
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Finally Done with the work
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#Progress
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Building Hack Club Nigeria site
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If you think you are too small to make a difference, try sleeping with a mosquito. @motivation
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working on Direction and amount from error with neural network
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Learning Deep Neural Network on Googlecolab
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opencv yelov3 and RNN
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If you are Machine learning or Deep-learning Practitioner let's form a team to make something awesome before the end of this summer feel free we are all here to learn 🙈
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Done with model training for counting number of faces
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Training my model to count number of faces
Done with another one
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Finally done with my course Structuring Machine Learning Projects
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Done with binary classification algorithm binary classification tasks that have two class labels. Examples include: • Email spam detection (spam or not). • Churn prediction (churn or not). • Conversion prediction (buy or not). Source Code: github.com/Abubakarharuna10/Binary-Classification.git
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Building our boot-camp web App Hack Club Auk
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Eyes motion detection opencv and dlib
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Yolo and Opencv objects detection
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after taking some days without sharing anything due to the system issues so far today i have done one project again people counter app with opencv though i develop same with openvino tools kit this one is new version with purely opencv Here is the source code link github.com/Abubakarharuna10/people-counter-app-with-opencv.git
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faceencodings i also push it to the repo <https://github.com/Abubakarharuna10/Deep-Learning-Face-Recognition-Summer-of-making-series.git>
Another one Deep Learning Face Recognition i will be updating new stuffs with their codes through this repo here is the codes and video <https://github.com/Abubakarharuna10/Deep-Learning-Face-Recognition-Summer-of-making-series.git> So Feel Free if you have any questions
Applying digital makeup to a face with computer vision
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object detection using YOLO
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