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#tensorflow
"It’s fun and powerful, it feels like playing with LEGO bricks."- François Chollet (The Creator of Keras) Ketika mulai mendalami Deep Learning, kita biasanya memulai dengan membuat model sekuensial. …
This post will let you set up a machine-learning environment on your new macbook pro M2. Homebrew It is very important to get this package manager installed on your macbook. It installs, updates, and deletes all the packages that you need. …
Problem Faced After models are trained and ready to deploy in a production environment, a lack of consistency with model deployment and serving workflows can present challenges in scaling your model d…
The web app we will make is about predicting the image of a hand sign digit. The model is trained on the dataset named "American Hand Digit Sign Language" found on Kaggle. This tutorial will focus on …
Python has risen to become today’s most widely used programming language, and it is the top choice for tackling data science tasks. Python is used by data scientists every single day, and it is a grea…
Introduction Finally, as the Prince was promised, this blog was also promised tons of weeks back and here it is. Part 2 : End-to-End Implementation using TensorFlow for determining handwritten digits.…
This is my first time participate Hackathon AI. At first, I was success with preliminary phase, but in the final , I failed so bad. This is because my model was too overfitting and I don't have enough…
Numpy is a Python library used for working with arrays. It provides multi-dimensional array objects, masked arrays, and matrices. To work with these arrays, NumPy provides some methods to carry out op…
TLDR: So I was working on my thesis, and wanted to implement a particular paper that I would be able to iterate upon, long story short: this paper presented a Fully-Convolutional Siamese Neural networ…
