Deep Learning From Scratch By Seth Weidman
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 49573
- Number of Pages: 268
Rs.670.00
Rs.850.00
Tags: Activation Functions , Advanced Architectures , AI , AI Models. , Algorithms , Artificial Intelligence , Backward Propagation , best books , Best Selling Books , Biases , CNN , Code , Coding Examples , Convolutional Neural Networks , Data Science , Deep Learning , Deep Learning Basics , Dropout , Educational , Forward Propagation , Future Directions , good books , Gradient Descent , Hands-on Guide , Image Recognition , L2 Regularization , Learning Resources , Loss Functions , Machine Learning , Manual Implementation , Model Generalization , Natural Language Processing , Neural Network Architecture , Neural Network Training , Neural Networks , NLP , Optimization , Overfitting , Practical Application , Predictive Models , Python , Real-World Applications , Recurrent Neural Networks , Regularization , Research , RNN , Seth Weidman , Training , Weights
Deep Learning from Scratch
Author: Seth Weidman
Binding: Paperback
Paper Quality: Standard White Paper
Category: Artificial Intelligence / Computer Science
Recommended For: BSCS, BSSE, Data Science Students, AI Enthusiasts
Key Points:
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A beginner-friendly guide to understanding deep learning algorithms from the ground up
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Builds neural networks using only Python and NumPy—no high-level frameworks
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Great for students who want to understand the math and logic behind AI models
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Covers essential concepts like forward propagation, backpropagation, and optimization
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Includes hands-on coding exercises for real-time learning
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Perfect for developing a solid conceptual foundation before moving to advanced tools like TensorFlow or PyTorch
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Writer ✤ Seth Weidman