♪ (music) ♪
Hi, everyone, and welcome to episode 2 of TensorFlow Zero to Hero.
In the last episode,
you learned about machine learning and how it works.
You saw a simple example of matching numbers to each other
and how, using Python code,
a computer could learn through trial and error
what the relationship between the numbers was.
In this episode, you're going to take it a little further
by teaching a computer
how to see and recognize different objects...
| repo | techs | stars | weekly | forks | weekly |
|---|---|---|---|---|---|
| roboflow/supervision | Python | 5.8k | +369 | 398 | +31 |
| CorentinJ/Real-Time-Voice-Cloning | Python | 48k | +278 | 8.2k | +24 |
| microsoft/onnxruntime | C++CPython | 10.6k | +143 | 2.3k | +16 |
| ray-project/ray | PythonC++Java | 28.1k | +113 | 4.8k | +13 |
| d2l-ai/d2l-en | PythonTeXHTML | 19.3k | +85 | 3.9k | +7 |
| onnx/onnx | PythonC++CMake | 15.7k | +48 | 3.6k | +4 |
| google-research/bert | PythonJupyter Notebook | 35.4k | +46 | 9.4k | +8 |
| mozilla/DeepSpeech | C++PythonC | 23.1k | +36 | 3.9k | +1 |
| datawhalechina/fun-rec | Jupyter NotebookPythonVue | 2.7k | +30 | 638 | +4 |
| satellite-image-deep-learning/techniques | 6.9k | +30 | 1.2k | +5 |