1. Home
  2. Detail

@doucoure.maillots: Brésil 🇧🇷 jersey pour la coupe du monde 🌎 26/27 disponible chez Doucoure maillot livraison possible 📞98252961 ou 72759857

Doucoure maillots
Doucoure maillots
Open In TikTok:
Region: ML
Saturday 11 April 2026 15:43:24 GMT
6109
389
4
21

Music

Download

No Watermark .mp4 (2.27MB) No Watermark(HD) .mp4 (2.27MB) Watermark .mp4 (0MB) Music .mp3

Comments

hadytoure06
YOUMA CRÉATION CHEZ HADY TOURE :
C’est combien
2026-04-15 16:09:43
0
pisko.mg
PISKO MG :
👑👑👑
2026-04-11 21:37:09
0
baya8593
Baya85 :
🥰🥰🥰🥰🥰❤️❤️❤️❤️
2026-04-11 22:03:19
0
To see more videos from user @doucoure.maillots, please go to the Tikwm homepage.

Other Videos

The Thought Process of a Data Scientist 👩‍💻 I didn’t start by picking a neural network. I started by evaluating the data and the pipeline. I explored multiple datasets, including the classic Kaggle Cats vs Dogs set, but the moment I realized how much of the “modeling” would turn into filename parsing, manual split logic, and opportunities for silent bugs, I switched to TensorFlow Datasets and used the Oxford-IIIT Pet dataset for its structured labels and reproducible setup. From there, the architecture choices were about alignment, not complexity: a pretrained MobileNetV2 backbone to reuse strong visual features, a lightweight classification head to adapt those features to a simple cat vs dog decision, and a two-stage training process where we first freeze the backbone to stabilize learning, then fine-tune the top layers with a smaller learning rate to improve performance without destroying what the model already knows. And instead of relying on accuracy alone, I tracked metrics that answer different questions about behavior and tradeoffs because the goal isn’t just a high score, it’s a model you can actually understand and trust. Full code: https://tinyurl.com/CNNAnimals #ml #machinelearning #tensorflow #python #datascience
The Thought Process of a Data Scientist 👩‍💻 I didn’t start by picking a neural network. I started by evaluating the data and the pipeline. I explored multiple datasets, including the classic Kaggle Cats vs Dogs set, but the moment I realized how much of the “modeling” would turn into filename parsing, manual split logic, and opportunities for silent bugs, I switched to TensorFlow Datasets and used the Oxford-IIIT Pet dataset for its structured labels and reproducible setup. From there, the architecture choices were about alignment, not complexity: a pretrained MobileNetV2 backbone to reuse strong visual features, a lightweight classification head to adapt those features to a simple cat vs dog decision, and a two-stage training process where we first freeze the backbone to stabilize learning, then fine-tune the top layers with a smaller learning rate to improve performance without destroying what the model already knows. And instead of relying on accuracy alone, I tracked metrics that answer different questions about behavior and tradeoffs because the goal isn’t just a high score, it’s a model you can actually understand and trust. Full code: https://tinyurl.com/CNNAnimals #ml #machinelearning #tensorflow #python #datascience
Tes croyances sont-elles vraiment les tiennes… ou simplement celles qu’on t’a transmises ? 👀🧠 À quel moment as-tu commencé à penser par toi-même ?#rick #psychologie #parents #france #prt
Tes croyances sont-elles vraiment les tiennes… ou simplement celles qu’on t’a transmises ? 👀🧠 À quel moment as-tu commencé à penser par toi-même ?#rick #psychologie #parents #france #prt
Tag your chicken wing in comments 😊 #jersey #nj #chickenwing #trend #capcut #cherryhill #nj #southjersey #pizzatwistcherryhill
Tag your chicken wing in comments 😊 #jersey #nj #chickenwing #trend #capcut #cherryhill #nj #southjersey #pizzatwistcherryhill
Mùa hè làm sao có thể thiếu được toplist này cho ae 🌊☀️ #nuochoanam #nuochoa #apaniche
Mùa hè làm sao có thể thiếu được toplist này cho ae 🌊☀️ #nuochoanam #nuochoa #apaniche
passenger princess
passenger princess
😂😂😂
😂😂😂

About

Legal