A Machine Learning podcast by @gdg_nairobi to help you learn and discover the latest news and updates around Keras Ecosystem.
Hosts: @ngesa254, @okacha_daisy
I'm glad to announce that I am officially a #GDE@GoogleDevExpert in #ML
Huge thanks to @m4rkmc, @ixek, @olayinkapeter_, & @DeniseAllela for all the kindness!
Gratitude to everyone who has been part of my learning process.
Looking forward to helping others get into #AI & #ML
🤩🚀#ML Peopleeee...
We're excited to announce the launch of #KerasKnights, a new ML podcast by @GDG_Nairobi in partnership w/ @WTM_Nyeri!
🙌Join us as we explore Deep Learning w/#Keras🧠& learn how industry leaders are putting deep learning models in production
#KerasDay
🔥 🎪 ⚔️
Are you ready for a Keras Deep Dive?
Join us tomorrow at #KerasKnights LIVE on YouTube, 8pm for an advanced journey through Model Subclassing, Sequential API, Functional API + more...
Don't miss out!
#KerasDay#Keras#ML#KerasNairobi
🚀 📢 Thrilled to announce #KerasKnights Episode 01 taking place on the 14th of September 2023.
Join us to get more insights on Deep Learning with #Keras
🔥 🎪 ⚔️
#KerasDay#Keras#ML
Multi-framework Stable Diffusion is now available in KerasCV (via Keras Core)! Try out our image generation API in JAX, TensorFlow, or PyTorch: https://t.co/XHQL6Sqx9R
🤩🚀#ML Peopleeee...
We're excited to announce the launch of #KerasKnights, a new ML podcast by @GDG_Nairobi in partnership w/ @WTM_Nyeri!
🙌Join us as we explore Deep Learning w/#Keras🧠& learn how industry leaders are putting deep learning models in production
#KerasDay
🏅#TFCommunitySpotlight Winner: Erfan Sadigh Nejati🏅
Check out AR Touch created by @erfansn_es → https://t.co/7yOAK4Kizy
This cutting-edge technology enables you to effortlessly navigate and interact with various screen displays without any physical contact. Great work! 👏
📚 Are you excited about tomorrow's 8 pm #MLStudyJam ? So are we!
🔥 Join us as we cover missing value handling, data preprocessing with pipelines, XGBoost modeling, cross-validation, data leakage prevention, PCA & K-means techniques ++
Let's level up our #ML skills together!
A free Machine Learning course from Standford taught by Andrew Ng.
You'll learn:
• Linear/Logistic regression
• Decision Trees
• KNN
• Support Vector Machines
• Neural Networks
• Naive Bayes
• Gradient Descent
And much more.
Link: https://t.co/G64MnKYftu