Fully batched seq2seq example based on practical-pytorch, and more extra features.

A simple program on how you can use tensor-board for visualization and how you can freeze your model graph and later use if for testing

Deep-Attention Text Classifier in Tensorflow

This repo helps to track model Weights, Biases and Gradients during training with loss tracking and gives detailed insight for Classification-Model Evaluation

Data visualization using Matplotlib, pandas, seaborn and tensorboard

Exploring Reinforcement Learning Solutions to the Vehicle Routing Problem. PPO, A2C, DQN, SAC

Predicted biomass pyrolysis yields using multilayer perceptron models (ANNs) and RFs.

Classifies the cifar-10 database by using a vgg16 network. Training, predicting and showing learned filters are included.

Supervised binary classification of skin lesions from dermascopic images using an ensemble of diverse CNN architectures (EfficientNet-B4, ResNet-50).

📊 📈 📉 👀 Graph Visualization using Tensorboard

Embedding Visualization in TensorBoard

Калькулятор "идеальной" эпохи по данным из графиков Tenserboard

Example of how to use TensorBoard in TensorFlow

Consists of variety of Autoencoders implementation for various applications such as denoising image, reverse image search, segmantic hair segmentation.

TensorFlow assignment

TF Reader is an offline alternative to TensorBoard that offers a more thorough division of Scalars and custom plots, with a tkinter GUI and matplotlib. It scans training folders, identifies sessions by model/reward tags, size, and supports curve smoothing via slider, but currently only plots Scalars.