Top Tweets for #100DaysofMLcode
Learn Artificial Intelligence. Ebook: "110 AI/ML Questions with Answers" $4.99 order b4 price increase
https://t.co/kX7maqYyFs
#ML #AI #MachineLearning
#NeuralNetwork #100DaysOfMLCode #finance #WomenWhoCode #100DaysOfCode #DeepLearning #ArtificialIntelligence #python #Business
Learn Artificial Intelligence. Ebook: "110 AI/ML Questions with Answers" $4.99 order b4 price increase
https://t.co/kX7maqY0PU
#ML #AI #MachineLearning
#NeuralNetwork #100DaysOfMLCode #finance #WomenWhoCode #100DaysOfCode #DeepLearning #ArtificialIntelligence #python #Business
Learn Artificial Intelligence. Ebook: "110 AI/ML Questions with Answers" $4.99 order b4 price increase
https://t.co/kX7maqYyFs
#ML #AI #MachineLearning
#NeuralNetwork #100DaysOfMLCode #finance #WomenWhoCode #100DaysOfCode #DeepLearning #ArtificialIntelligence #python #Business
Learn Artificial Intelligence. Ebook: "110 AI/ML Questions with Answers" $7.99 order b4 price increase
https://t.co/kX7maqYyFs
#ML #AI #MachineLearning
#NeuralNetwork #100DaysOfMLCode #finance #WomenWhoCode #100DaysOfCode #DeepLearning #ArtificialIntelligence #python #Business
Learn Artificial Intelligence. Ebook: "110 AI/ML Questions with Answers" $7.99 order b4 price increase
https://t.co/kX7maqY0PU
#ML #AI #MachineLearning
#NeuralNetwork #100DaysOfMLCode #finance #WomenWhoCode #100DaysOfCode #DeepLearning #ArtificialIntelligence #python #Business
Learn Artificial Intelligence. Ebook: "110 AI/ML Questions with Answers" $7.99 order b4 price increase
https://t.co/kX7maqYyFs
#ML #AI #MachineLearning
#NeuralNetwork #100DaysOfMLCode #finance #WomenWhoCode #100DaysOfCode #DeepLearning #ArtificialIntelligence #python #Business
Learn Artificial Intelligence. Ebook: "110 AI/ML Questions with Answers" $7.99 order b4 price increase
https://t.co/R1ctqmNMK4
#ML #AI #MachineLearning
#NeuralNetwork #100DaysOfMLCode #finance #WomenWhoCode #100DaysOfCode #DeepLearning #ArtificialIntelligence #python #Business
Learn Artificial Intelligence. Ebook: "110 AI/ML Questions with Answers" $7.99 order b4 price increase
https://t.co/OCPOc0sfD3
#ML #AI #MachineLearning
#NeuralNetwork #100DaysOfMLCode #finance #WomenWhoCode #100DaysOfCode #DeepLearning #ArtificialIntelligence #python #Business
Day 19/100: #100DaysOfMLCode ๐
Paper: YOLO v1Task: Dataset Pipeline & Label EncodingThe tricky part of YOLO isn't just the model; it's the data preparation.Standard datasets give you a list of boxes [x, y, w, h]. YOLO needs a 3D tensor [7, 7, 30]. Implemented ๐
Day 18/100: #100DaysOfMLCode
๐Paper: YOLO v1Task: The Multi-Part Loss Function. Implemented the beast! The YOLO loss function combines 5 different objectives into one:1๏ธโฃ Center Coordinates (xy)2๏ธโฃ Dimensions (โwโh)3๏ธโฃ Object Confidence4๏ธโฃ
Day 17/100: #100DaysOfMLCode ๐๏ธ
Paper: YOLO v1 Task: Model Architecture
Built the YOLO architecture (inspired by GoogLeNet) from scratch in PyTorch.
๐งฉ The Puzzle: Input: 448x448 Image Backbone: 24 Convolutional layers (using LeakyReLU). Head: 2 Fully Connected layers. ๐
Day 16/100: #100DaysOfMLCode
Project 3 Starts: YOLO v1 (You Only Look Once).Leaving image classification to tackle Object Detection.๐ Reading Joseph Redmon's paper.The genius of YOLO: Instead of sliding windows or region proposals, it reframes detection as a single ๐
โ
Paper 2/10: ResNet Complete!Project 2 of #100DaysOfMLCode is done. Implemented ResNet-18 from scratch and trained it on CIFAR-10 to ~88% accuracy.But I didn't just code it; I tested the theory. ๐งช Thread on my Ablation Study ๐
Day 14/100: #100DaysOfMLCode
Paper: ResNet (2015) Task: Ablation Study (ResNet vs PlainNet)I challenged the residual learning hypothesis by training a "broken" ResNet (PlainNet-18) without skip connections.
Results (10 Epochs): ๐ต ResNet-18: 87.98% (Faster convergence) ๐
Day 13/100: #100DaysOfMLCode
Paper: ResNet (2015) Task: First Training RunTrained ResNet-18 on CIFAR-10 for 10 epochs.
Hardware: Apple M2 Pro (MPS) - ~15 mins.
Results:
Test Accuracy: 87.98%
Overfitting: None (Train 89% vs Test 88%)The skip connections are working their
Day 12/100: #100DaysOfMLCode
Paper: ResNet (2015) Task: Data Pipeline & Augmentation
Successfully loaded CIFAR-10.
๐ผ๏ธ Input Pipeline:
Random Crop (32x32)
Random Horizontal Flip
Normalization (mean/std)
Batch Shape: [4, 3, 32, 32] โ
The augmentation pipeline is live.
![alir3za_taherii's tweet photo. Day 12/100: #100DaysOfMLCode
Paper: ResNet (2015) Task: Data Pipeline & Augmentation
Successfully loaded CIFAR-10.
๐ผ๏ธ Input Pipeline:
Random Crop (32x32)
Random Horizontal Flip
Normalization (mean/std)
Batch Shape: [4, 3, 32, 32] โ
The augmentation pipeline is live. https://t.co/2qA8iOFzqt](https://pbs.twimg.com/media/G7bZYOnXMAAU-FE.jpg)
Day 11/100: #100DaysOfMLCode
Paper: ResNet (He et al., 2015)
Task: Full AssemblySuccessfully assembled ResNet-18. The logic handles dynamic downsampling through 4 layers of Residual Blocks.
๐ Specs:
Layers: 18 deep
Parameters: 11,173,962 ๐ฅ
Day 10/100: #100DaysOfMLCode
Paper: ResNet (He et al., 2015)
Task: Implementing the Residual BlockSuccessfully built the core unit of ResNet: The BasicBlock.
Technical Win:Implemented the conditional skip connection.
If dimensions match: Identity mapping (x).
If dimensions
Day 9/100: #100DaysOfMLCode
Project 2 Starts: ResNet (2015).
Leaving the 5-layer LeNet behind to tackle deep networks (18+ layers). Reading Kaiming He's paper on Deep Residual Learning.The Core Insight: The "Degradation Problem" isn't overfitting. It's optimization difficulty.
โ
Paper 1/10: LeNet-5 Complete!
I just wrapped up the first project of my #100DaysOfMLCode challenge. Reproduced LeCun's 1998 classic from scratch using PyTorch.
๐ Final Result: 99.00% Accuracy on MNIST. โฑ๏ธ Time: 8 Days.
A thread on what I learned ๐ ๐งต
Trends for you
Most Popular Users
Elon Musk 
@elonmusk
240.2M followers
Barack Obama
@barackobama
119.3M followers
Donald J. Trump
@realdonaldtrump
111.6M followers
Cristiano Ronaldo
@cristiano
109.1M followers
Narendra Modi
@narendramodi
107M followers
Rihanna
@rihanna
97.3M followers
NASA
@nasa
92.1M followers
Justin Bieber
@justinbieber
90.6M followers
KATY PERRY
@katyperry
86.9M followers
Taylor Swift
@taylorswift13
80.7M followers
Lady Gaga
@ladygaga
72.3M followers
Kim Kardashian
@kimkardashian
69.4M followers
Virat Kohli
@imvkohli
68.7M followers
YouTube
@youtube
68.6M followers
Bill Gates
@billgates
63.5M followers
The Ellen Show
@theellenshow
62.5M followers
CNN
@cnn
61.9M followers
Neymar Jr
@neymarjr
61.3M followers
X
@x
60.9M followers
Selena Gomez
@selenagomez
60M followers