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