#deep-learning

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  AI & Machine LearningMay 4, 202616 min

  PyTorch Guide: Tensors to Production in 2026

  A practical, working PyTorch guide for 2026. Tensors, autograd, training loops, transfer learning, torch.compile, and deployment — all with code that runs on the current PyTorch 2.x release.

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  AI & Machine LearningMay 3, 202619 min

  TensorFlow Guide: From Zero to Hero (2026 Edition)

  TensorFlow 2 zero to production: tensors, Keras Sequential and Functional, tf.data, GradientTape, distributed training, TF Serving and TF Lite — all in Colab.

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  AI & Machine LearningApril 8, 202620 min

  LSTM Networks: A Deep Dive with Code & Variants

  LSTM networks deep dive: gated memory cells, architecture variants (Bi-LSTM, stacked), with runnable Keras/TensorFlow code for real time-series forecasting.

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  AI & Machine LearningApril 2, 202610 min

  Deep Learning Fundamentals: A Practical Guide to Neural Networks

  Deep learning fundamentals, practical: feedforward, CNN, RNN, Transformer. Training, optimization, regularization — with a runnable PyTorch neural network.

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  AI & Machine LearningMarch 28, 202616 min

  Neural Networks From Scratch: A Developer's Guide

  Build a neural network from scratch in Python using only NumPy. Backpropagation, gradient flow, every line of training explained — no frameworks, no magic.

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  AI & Machine LearningMarch 22, 202610 min

  Mastering ML Model Training: From Costs to Code

  ML model training from costs to code: frontier costs (Gemini Ultra $191M), compute doubling every 6 months, plus runnable training patterns for smaller teams.

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  AI & Machine LearningFebruary 26, 202610 min

  TensorFlow 2.19 Tutorial: GPUs and Beyond

  TensorFlow 2.19 (and 2.21 latest stable) tutorial for 2026: GPU setup with CUDA 12.3 and cuDNN 8.9.7, Python 3.10–3.12 support (2.21 adds 3.13, drops 3.9), and shipping models to real production.

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  AI & Machine LearningFebruary 23, 20269 min

  Embedding Models Compared: From Word2Vec to Modern Transformers

  Embedding models compared: Word2Vec, GloVe, BERT, OpenAI text-embedding-3, Cohere v3, and open-source (BGE, E5). Dimensions, retrieval quality, and cost.

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  AI & Machine LearningFebruary 19, 202610 min

  Free AI Courses 2026: Beginner to Advanced, Ranked

  The best free AI courses in 2026, ranked by depth: beginner ML, deep learning, generative AI, and hands-on agent/RAG projects — with hours and prerequisites.

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  AI & Machine LearningFebruary 15, 20268 min

  Deep Learning Interview Prep: The Ultimate 2026 Guide

  Ace your next deep learning interview with this comprehensive 2026 guide — from theory and coding to real-world case studies, pitfalls, and performance tips.

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  AI & Machine LearningFebruary 11, 20269 min

  Mastering RNN Sequence Modeling: From Theory to Production

  RNN sequence modeling: vanilla RNN, LSTM, GRU. Architecture, training pitfalls, and when to reach for RNNs vs. Transformers in text, audio, and time series.

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  AI & Machine LearningFebruary 10, 20269 min

  Mastering GAN Image Generation: From Theory to Deployment

  GAN image generation from theory to deployment: generator vs. discriminator, mode collapse, training tricks, and runnable PyTorch code you can actually ship.