• Modules(current)
  • Reseacrh
    Functional-Analysis Linear-Algebra Convex-Optimization Fundamental-Statistics Statistical-Learning-Theory Digital-Signal-Processing
    Towards-DeepLearning Deep-Reinforcement-Learning
  • Bridge
    Numerical-Optimization Computational-Differentiation Computer-Vision Natural-Language-Processing Process-Mining
    Docker TensorFlowDocker
  • Deploy
    Django-Basic Django-Gunicorn-Nginx DjangoRestAPI Django-WebSockets
    Android Tensorflow-Lite Tensorflow-JS Arduino-Basic Arduino-Advanced ESP32 RaspberryPI NVIDIA-Jetson
Code Contact
Aravind Sankaran, MSc
aravindsankaran22@gmail.com

TensorFlowDocker
00 DevelopingBasicTensorFlow 00 Tensors 01 Variables gradients and training 02 Tensorflow numpy equivalence 03 Image reading and queues and stacking 04 Image processing 05 tf.data API 06 working with multiple graphs 07 Regression example 08 Classification PCA L2reg example 09 Saving and restoring 10 Develop Eval Serve MNISTdense 11 Modifying weights from tf.layers 12 Visualizing ConvOutput and Filters LowlevelAPI 13 MNIST CNN LeNET Feedable iter 14 CIFAR10 gray Finetuning 15 Transferring weights from selected layers 16 CIFAR10 rgb usingSelectedFinetuning 17 CIFAR10 AbalationStudy 18 VanillaRNN Manually coded 19 MultiLayerRNN Manual and KerasAPI 20 RNN keras organizedCode 21 RNN Abalation study Refreser Pandas Refresher AudioRecordPlay python Refresher DataVis Refresher Numpy Refresher WebcamToPython pygame Refresher pythonOOPAdvanced Annotations yield Refresher sklearn preprocessing Testing libraries tensorboard devices