Tag

#tensorflow

6 posts

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.
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.
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.
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.
AI & Machine LearningFebruary 3, 202611 min
The Ultimate Guide to Python AI Libraries in 2025
Python AI libraries for 2026: TensorFlow, PyTorch, Scikit-learn, Keras, spaCy, Hugging Face Transformers, LangChain, and LlamaIndex — when to reach for each.
AI & Machine LearningJanuary 31, 20269 min
Inside Neural Network Architecture: A Deep Dive for Developers
Neural network architecture deep dive: feedforward, CNN, RNN, Transformer. How data flows, what each layer does, and how to pick the right one for the task.

Every post in #tensorflow (6)

TensorFlow Guide: From Zero to Hero (2026 Edition)

LSTM Networks: A Deep Dive with Code & Variants

TensorFlow 2.19 Tutorial: GPUs and Beyond

Mastering RNN Sequence Modeling: From Theory to Production

The Ultimate Guide to Python AI Libraries in 2025

Inside Neural Network Architecture: A Deep Dive for Developers