This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

Beyond big projects, doing smaller, focused exercises is super helpful. GeeksforGeeks has tons of these, covering everything ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Education Ministry is offering 5 free AI Courses to students on the Swayam Portal. Students can enroll for the programs on ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA.

It comes with lots of Python libraries already set up, so you can start coding right away. You can make your own reusable code modules in Google Colab to save time and keep your projects organized.