Archives for Loss functions
Deep Learning is a subset of Machine learning. It was developed to have an architecture and functionality similar to that of a human brain.
The post Getting Started With Deep Learning Using TensorFlow Keras appeared first on Analytics India Magazine.
The loss function is a method of evaluating how well the algorithm performs on your dataset, most of the people are confused about the difference between loss function and the cost function. We will use the term cost function for a single training example and loss function for the entire training dataset. We always try…
The post Hands-On Guide To Loss Functions Used To Evaluate A ML Algorithm appeared first on Analytics India Magazine.
The loss function is a method of evaluating how well the algorithm performs on your dataset, most of the people are confused about the difference between loss function and the cost function. We will use the term cost function for a single training example and loss function for the entire training dataset. We always try…
The post Hands-On Guide To Loss Functions Used To Evaluate A ML Algorithm appeared first on Analytics India Magazine.
ML models are deployed for something as trivial as purchasing a toothbrush or to gravely significant applications like cancer detection or for safety of nuclear plants. Whatever be the application, the foundations of an ML model are rooted in mathematics-dot products, partial differentiation, network topology etc. Since the ground truth is very well known, few…
The post Fundamental Techniques For Model Evaluation Every ML Enthusiast Should Know appeared first on Analytics India Magazine.
ML models are deployed for something as trivial as purchasing a toothbrush or to gravely significant applications like cancer detection or for safety of nuclear plants. Whatever be the application, the foundations of an ML model are rooted in mathematics-dot products, partial differentiation, network topology etc. Since the ground truth is very well known, few…
The post Fundamental Techniques For Model Evaluation Every ML Enthusiast Should Know appeared first on Analytics India Magazine.
Neural networks are powerhouses of predictions. The last couple of years has witnessed a sporadic growth ML approach for prediction. A neural network is one such approach which applies arithmetic operations over hundreds of layers until an appropriate solution is obtained. To keep a check on how accurate the solution is, loss functions are used.…
The post What Are Loss Functions in ML And Why Are They Important appeared first on Analytics India Magazine.