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Text to image generation is not a new idea. What if, you feed <your name> to a state-of-the-art image generation model?

Stable Diffusion, Unstable Me: Text-to-image Generation

So yesterday I found this paper “<a href="https://papers.nips.cc/paper/6613-dilated-recurrent-neural-networks" target="_blank">Dilated Recurrent Neural Networks</a>” from <a href="https://papers.nips.cc/book/advances-in-neural-information-processing-systems-30-2017?utm_campaign=Revue%20newsletter&amp;utm_medium=Newsletter&amp;utm_source=Deep%20Learning%20Weekly" target="_blank">NIPS 2017</a> and implemented <a href="https://towardsdatascience.com/only-numpy-nips-2017-implementing-dilated-recurrent-neural-networks-with-interactive-code-e83abe8c9b27" target="_blank">here&nbsp;</a>. But then something hit me, Res Net and High Way net are built in a way that allows direction connection between the input data X and the transformed data X`.

Only Numpy: Dilated Back Propagation and Google Brain’s Gradient Noise with Interactive Code

Learn why TensorFlow gradients return None, the common causes behind it, and how to fix unconnected or missing gradients in your model.

Debugging Disconnected Gradients in TensorFlow Step by Step

Compute gradients in TensorFlow with GradientTape—watching, models, non-scalars, control flow, and performance tips, all with clear, runnable examples.

Why GradientTape Is the Most Underrated Feature in TensorFlow

Fine-tune DeepLabV3-MobileNetV2 with TensorFlow Model Garden: prepare TFRecords, configure training on Oxford-IIIT Pets, and export a ready-to-use model.

How to Train DeepLabV3 with MobileNetV2 Using TensorFlow

Visualize TensorFlow object detection data with TFRecords, bounding boxes, and masks while evaluating accuracy using mAP metrics.

Visualizing Object Detection Data in TensorFlow with TFRecords

Turn slow TensorFlow into fast, portable graphs. Learn tf.function, AutoGraph, tracing/retracing fixes, Grappler, and when XLA jit_compile boosts speed.

Try This if Your TensorFlow Code Is Slow

Learn how a software engineer built a working GPT-2 clone from scratch in Rust on Ubuntu. This deep dive covers embeddings, attention, residuals, training, and 

Building GPT-2 from Scratch in Rust - A Software Engineer’s Deep Dive into Transformers and Tensors

Hands-on TensorFlow preprocessing recipes: data augmentation, normalization, encoding, and text vectorization with Keras layers.

The Only TensorFlow Preprocessing Guide You Need

Learn Keras callbacks: hook into training/eval/predict, read logs, use self.model, apply EarlyStopping & LR scheduling, and build custom callbacks with examples

TensorBoard, Checkpoints, and Custom Hooks in Keras

Load BERT, ALBERT, and ELECTRA from TF Model Garden: parse YAML/JSON configs, build encoders & classifiers, restore pretrained weights, and prep for downstream 

Plug-and-Play LM Checkpoints with TensorFlow Model Garden

Learn about TensorFlow Core: low-level, extensible APIs for custom models, tools, and scientific computing—when to use Core vs. Keras, key components, and more.

A Detailed Overview of TensorFlow Core APIs

Train an MNIST MLP with TensorFlow Core + DTensor using data parallelism: define mesh/layout, pack global batches, use DVariables/Adam, track metrics, and note 

Data Parallel MNIST with DTensor and TensorFlow Core

Learn DTensor: TensorFlow’s sharded-tensor model. Understand Mesh & Layout, SPMD expansion, DVariable, and how to run TF ops on distributed devices.

DTensor 101: Mesh, Layout, and SPMD in TensorFlow

Customize BERT fast: use EncoderScaffold/TransformerScaffold to swap embeddings, attention, and FFN layers—plus ALBERT—via TensorFlow Model Garden.

How to Customize BERT Encoders with TensorFlow Model Garden

Build BERT with TensorFlow Model Garden: pretraining (MLM+NSP), span labeling, and classification—minimal code using tf-models-official.

TensorFlow Models NLP Library for Beginners

TensorFlow 2.16 drops Estimators. Learn what’s changing, why it matters, and how to migrate your models to Keras or tf.distribute.

TensorFlow Estimators Are Deprecated—Here’s How (and Why) to Migrate

Learn TensorFlow’s versioning rules, API guarantees, and upgrade tips to keep your models and code running across releases.

How TensorFlow Handles Backward Compatibility Across Versions

Learn how to master tf.function in TensorFlow 2, avoid retracing, and build faster, more portable, high-performance models.

Boosting TensorFlow Performance Without Losing Flexibility

Profile your TensorFlow models to find bottlenecks, optimize CPU/GPU usage, and speed up training with the TensorFlow Profiler & TensorBoard.

How to Use TensorFlow Profiler to Optimize Model Performance

Speed up TensorFlow training with the Profiler. Learn to detect bottlenecks, optimize GPU usage, and boost AI model performance.

Optimize TensorFlow Performance Using the Profiler

Maximize TensorFlow GPU performance with this step-by-step Profiler guide—debug bottlenecks, boost utilization, and speed up training.

How to Debug and Optimize Multi-GPU Training in TensorFlow

Boost TensorFlow performance with Grappler. Learn how to enable, disable, and fine-tune powerful graph optimizers for faster, leaner models.

TensorFlow Graph Optimization With Grappler

Speed up Keras model training by up to 3x with mixed precision in TensorFlow. Learn setup, code examples, and performance tips for GPU, TPU, and CPU.

Boost Keras Model Training Speed with Mixed Precision in TensorFlow

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Tanso's stories on HackerNoon

Stable Diffusion, Unstable Me: Text-to-image Generation

Only Numpy: Dilated Back Propagation and Google Brain’s Gradient Noise with Interactive Code

Debugging Disconnected Gradients in TensorFlow Step by Step

Why GradientTape Is the Most Underrated Feature in TensorFlow

How to Train DeepLabV3 with MobileNetV2 Using TensorFlow

Visualizing Object Detection Data in TensorFlow with TFRecords

Try This if Your TensorFlow Code Is Slow

Building GPT-2 from Scratch in Rust - A Software Engineer’s Deep Dive into Transformers and Tensors

The Only TensorFlow Preprocessing Guide You Need

TensorBoard, Checkpoints, and Custom Hooks in Keras

Plug-and-Play LM Checkpoints with TensorFlow Model Garden

A Detailed Overview of TensorFlow Core APIs

Data Parallel MNIST with DTensor and TensorFlow Core

DTensor 101: Mesh, Layout, and SPMD in TensorFlow

How to Customize BERT Encoders with TensorFlow Model Garden

TensorFlow Models NLP Library for Beginners

TensorFlow Estimators Are Deprecated—Here’s How (and Why) to Migrate

How TensorFlow Handles Backward Compatibility Across Versions

Boosting TensorFlow Performance Without Losing Flexibility

How to Use TensorFlow Profiler to Optimize Model Performance

Optimize TensorFlow Performance Using the Profiler

How to Debug and Optimize Multi-GPU Training in TensorFlow

TensorFlow Graph Optimization With Grappler

Boost Keras Model Training Speed with Mixed Precision in TensorFlow

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