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We've added 15 new Computer Vision problems. revise your concepts by coding them out: > max pooling > image rotation > gaussian blur kernel > sobel edge detection > image histogram > 2D convolution > IoU > Non-maximum supression etc

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TensorTonic

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35,039 görüntüleme • 4 ay önce •via X (Twitter)

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Most awaited Optimization techniques in Machine Learning module is out! We've covered the fundamentals of - > SGD variants > Convex vs Non-Convex > Momentum & Nesterov acc. > Adam, RMSprop > Loss landscapes > Regularization > Batch Norm > Newton's method & lagrange
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Most awaited Optimization techniques in Machine Learning module is out! We've covered the fundamentals of - > SGD variants > Convex vs Non-Convex > Momentum & Nesterov acc. > Adam, RMSprop > Loss landscapes > Regularization > Batch Norm > Newton's method & lagrange

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bytedance just released BAGEL! an open-source multimodal alternative to gpt-4o and gemini flash it supports: > image reasoning > image editing > video generation > style transfer (ghiblify anyone?) > 3d rotation > outpainting > navigation
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bytedance just released BAGEL! an open-source multimodal alternative to gpt-4o and gemini flash it supports: > image reasoning > image editing > video generation > style transfer (ghiblify anyone?) > 3d rotation > outpainting > navigation

Dreaming Tulpa 🥓👑

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Our final module is out! We've covered the fundamentals of Information theory. topics include - > shannon entropy > KL divergence > information gain (decision trees) > mutual information > cross entropy loss > GANs training > Jensen-Shannon Divergence > Perplexity
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Our final module is out! We've covered the fundamentals of Information theory. topics include - > shannon entropy > KL divergence > information gain (decision trees) > mutual information > cross entropy loss > GANs training > Jensen-Shannon Divergence > Perplexity

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Text -> Image -> 3D -> Retexturing with
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Text -> Image -> 3D -> Retexturing with

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first update of since the launch > presets now match your image sizes > move and scale on canvas > color or image as background > per-image durations > sound over the video
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first update of since the launch > presets now match your image sizes > move and scale on canvas > color or image as background > per-image durations > sound over the video

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Playing with open-ended AI Agent behavior. Here's an AI Agent (claude code) making a self-portrait. It "evolves" the image by: writing code that generates image -> view image -> modify image -> view -> modify -> repeat.
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Playing with open-ended AI Agent behavior. Here's an AI Agent (claude code) making a self-portrait. It "evolves" the image by: writing code that generates image -> view image -> modify image -> view -> modify -> repeat.

Max | Emergent Garden

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"AI telephone" starts with an image -> GPT describes the image -> DALL-E makes an image from that description -> GPT describes the image -> DALL-E makes an image from that description, etc.... Experiment from my artist residency at OpenAI
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"AI telephone" starts with an image -> GPT describes the image -> DALL-E makes an image from that description -> GPT describes the image -> DALL-E makes an image from that description, etc.... Experiment from my artist residency at OpenAI

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>>> CHAT_LOG_??/?? INITIALIZED >>> ID: UNKNOWN >>> SECURITY: MAXIMUM #RyzarDeclassified
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>>> CHAT_LOG_??/?? INITIALIZED >>> ID: UNKNOWN >>> SECURITY: MAXIMUM #RyzarDeclassified

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when he brings out your feminine energy >>>>>>
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when he brings out your feminine energy >>>>>>

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ships where everyone knows but them >>>>>>>>>>>
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ships where everyone knows but them >>>>>>>>>>>

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Girl, Dad 👨‍👩‍👧 problems! They are fussing who Daddy loves ❤️ most between both of them. Present fathers >>>>>>!
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Girl, Dad 👨‍👩‍👧 problems! They are fussing who Daddy loves ❤️ most between both of them. Present fathers >>>>>>!

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Listening to audiobooks on your commute >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> These reads (and more):
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we have released more blogs today on calculus fundamentals for machine learning and their interactive simulations. some of them includes - > backprop and gradient descents > local minima/saddle points > vector fields > taylor series > jacobian and hessian > partial derivatives
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we have released more blogs today on calculus fundamentals for machine learning and their interactive simulations. some of them includes - > backprop and gradient descents > local minima/saddle points > vector fields > taylor series > jacobian and hessian > partial derivatives

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Tamer Ashour's new song>>>>>>>>>
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them>>>>>
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them>>>>>

dami ✿

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New York >>>>>>>> #Knickstape #NewYorkOrNowhere

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Everytime by Chen >>>>>>>
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Your dad >>>>>>
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