Machine Learning

What is the Stochastic Gradient Descent?

Explanation of the Stochastic Gradient Descent in comparison to the conventional gradient method.

Discover softmax function in Machine Learning: implementation in Python (NumPy, TensorFlow), probabilistic classification. Read more!

Learn how to use the MinMax Scaler in Python for feature scaling. Scale your data to a desired range for better machine learning results.

Learn about knowledge graphs and how they organize complex information in a meaningful way. Discover the benefits of knowledge graphs now.

Learn how to train agents to make optimal decisions with Q-Learning in reinforcement learning. Discover its applications and algorithms.

Learn how to improve neural network performance with ReLU activation function. Check out our guide to ReLU and its features.

Learn about the Dropout Layer in neural networks, a technique used for regularization and preventing overfitting.

Discover the power of ChatGPT – the cutting-edge language model trained by OpenAI. Learn how ChatGPT is changing the game in NLP.

Discover the power of ResNet: a deep learning neural network architecture for image recognition. Learn about ResNet in this comprehensive guide.

Discover the power of batch normalization in machine learning. Learn how this technique can improve model performance and convergence rates.