
The AI Studio
Speech Processing
Speech processing is one of the crucial type of recognition technique when it comes to AI and it is challenging because the vocabulary of...
Dimensionality Reduction
In the era of technology, a large amount of data is being produced at every instant of time. This data is very crucial for building...
Algorithm for Artificial Neural Networks in Jupyter
As the title suggests, this post includes the algorithm for ANN, specifically Convolution Neural Network. Algorithm: Import NumPy,...
Which is the Winning Algorithm for images? CNN or MLP?
To compare if Convolution Neural Network approach is better than Vanilla Neural Network approach, I have performed analysis on the MNIST...
Deep Learning, 5 blunt pros and cons.
PROS: In deep learning, the features can be automatically extracted and tuned for the necessary outcome. These features need not be...
Understanding Reinforcement Learning As Fast As Possible
Reinforcement Learning is a type of ML Algorithm. The Agent in a Reinforcement Learning takes actions on the environment and interacts,...
Architecture of a Multi-Layer Perceptron
Multi-layer Perceptron consists of three layers, namely, the Input layer, the Hidden layer and the Output layer. Input is fed at the...
Weights? Biases? Epoch? Glad you asked.
Some of the important Parameters that we use in Neural Networks are defined below. These parameters are also called Hyperparameters as...
Where does CNN fit in Artificial Intelligence Puzzle?
Artificial Intelligence aims to bridge the gap between machines and humans by bringing about intelligent behavior in machines. Machine...
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