هوش مصنوعی که دیپ فیک ها را پدید می آورد، سؤالات و ابهامات مختلفی را برای کاربران رسانه به وجود آورده است. با این حال به وسیله ی چند قاعده ی ساده، می توانید به درک کاملی از آنچه که به آن نگاه می کنید، دست یابید.هوش مصنوعی سراسر زندگی …
بیشتر بخوانید »Splash of Color: Instance Segmentation with Mask R-CNN and TensorFlow
Explained by building a color splash filter Waleed Abdulla Back in November, we open-sourced our implementation of Mask R-CNN, and since then it’s been forked 1400 times, used in a lot of projects, and improved upon by many generous contributors. We received a lot of questions as well, so in this …
بیشتر بخوانید »Computer Vision Tutorial: Implementing Mask R-CNN for Image Segmentation + Python Code
PULKIT SHARMA Overview Mask R-CNN is a state-of-the-art framework for Image Segmentation tasks We will learn how Mask R-CNN works in a step-by-step manner We will also look at how to implement Mask R-CNN in Python and use it for our own images Introduction I am fascinated by self-driving cars. …
بیشتر بخوانید »Weight Initialization in Deep Learning
Building a neural network is a tedious task and upon that tuning it to get better result is more challenging. The first challenging task that comes into consideration while building a neural network is initialization of weights, if the weights are initialized correctly, then optimization will be achieved in least time, Otherwise converging to minima is impossible.
بیشتر بخوانید »Activation Functions in Deep Learning
انواع توابع فعالسازی برای شبکه های عصبی عمیق مثل ReLU, PReLu, Sigmoid, Tanh,... و مزایا و معایب هریک
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