E-Books
Deep Learning Basic to Advance – Complete E-Book: Master Neural Networks in Easy Hinglish (45 Pages, 18 Chapters)
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Deep Learning ko scratch se seekho — easy Hinglish me, har concept ke saath Python (NumPy + PyTorch) code examples!
Ye complete e-book beginners ko neural networks ki buniyaad se lekar CNNs, Transformers aur GANs tak le jaata hai. 18 chapters, 5 diagrams, har chapter me practical code examples, chapter summaries aur 107 practice questions with answers.
Inside the book:
- Deep Learning Kya Hai? — ML vs DL, tensors, DL abhi kyun popular hai
- Perceptron — Sabse pehla neuron, AND gate seekhna
- Neural Network Basics — Layers, forward pass, parameters
- Activation Functions — Sigmoid, Tanh, ReLU, Softmax
- Loss Functions — MSE aur Cross-Entropy
- Backpropagation — Gradients ka intuition, learning rate
- Optimizers — SGD, Momentum, Adam
- CNNs — Images ke liye convolution + pooling
- RNN & LSTM — Sequences aur memory
- Transformers — Attention mechanism, LLMs ka engine
- GANs — Generator vs Discriminator
- Transfer Learning — Pretrained models, fine-tuning
- Training Tips & Regularization — Dropout, early stopping, data augmentation
- PyTorch Intro — 5-step training loop
- Hyperparameter Tuning — Learning rate, batch size, LR schedules
- Mini Project 1: Digit Classifier — PyTorch se 0-9 digits (~97% accuracy)
- Mini Project 2: Sentiment Analysis — LSTM se review classification
- Cheat Sheet — Saare concepts aur PyTorch commands ek page par
Details:
- 45 pages | 18 chapters | Easy Hinglish (Roman Hindi + English)
- All 17 Python code examples (NumPy + PyTorch) tested and working
- Chapter-end summaries + practice questions with answers
- Unnumbered bonus section: PyTorch setup guide (Google Colab FREE GPU)
- Digital PDF — phone aur computer dono par khulta hai
