by Dr. Subhabaha Pal (Guest Author) | Aug 30, 2023 | General Blogs
Improving Neural Network Convergence with Advanced Weight Initialization Techniques Neural networks have gained significant popularity in recent years due to their ability to solve complex problems across various domains. However, training neural networks can be a...
by Dr. Subhabaha Pal (Guest Author) | Aug 30, 2023 | General Blogs
Loss Functions in Deep Learning: Enhancing Model Performance and Generalization Introduction: Deep learning has revolutionized the field of artificial intelligence by enabling machines to learn and make decisions like humans. At the heart of deep learning models lies...
by Dr. Subhabaha Pal (Guest Author) | Aug 30, 2023 | General Blogs
Enhancing Gradient Descent with Adaptive Learning Rate: A Breakthrough in ML Introduction: Machine learning algorithms heavily rely on optimization techniques to minimize the loss function and improve the model’s performance. Gradient descent is one such...
by Dr. Subhabaha Pal (Guest Author) | Aug 30, 2023 | General Blogs
From Theory to Practice: Implementing Backpropagation in Real-World Applications Introduction: Backpropagation is a fundamental algorithm in the field of artificial neural networks. It is widely used for training deep learning models and has been instrumental in the...
by Dr. Subhabaha Pal (Guest Author) | Aug 30, 2023 | General Blogs
Activation Functions: The Building Blocks of Deep Learning Introduction: In the field of deep learning, activation functions play a crucial role in determining the output of a neural network. These functions introduce non-linearity into the network, allowing it to...
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