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Chandramouleeswaran Sankaran
India
Приєднався 7 кві 2019
I am Chandramouleeswaran (Mouli) Sankaran, working at RV University in the School of Computer Science and Engineering (SoCSE) department as Professor.
I was with IIIT Bangalore as Adjunct Professor and a Professor at the Myanmar Institute of Information Technology (MIIT) on deputation from IIITB on an Indo-Myanmar project.
Areas of interests are Processor Architecture, Operating Systems, Embedded Systems, IoT etc.
My lectures NPTEL A40+ hours of free lectures series on Arm Based Development:
ua-cam.com/play/PLbMVogVj5nJRDS4w20GO7l4SepLhuAj9X.html
A 30 hours of paid course on Microprocessors and Microcontrollers: Arm Cortex-M0+ (using RP2040) on NPTEL+:
elearn.nptel.ac.in/shop/nptel/microprocessors-and-microcontrollers-arm-cortex-m0-using-rp2040/
Email: moulisankaran712@gmail.com
My wife, Hema Ananthakrishnan, is s Veena artist, shares Carnatic and Isai Gnani Ilaiyaraaja's compositions on the Veena.
Happy listening and learning!!!
I was with IIIT Bangalore as Adjunct Professor and a Professor at the Myanmar Institute of Information Technology (MIIT) on deputation from IIITB on an Indo-Myanmar project.
Areas of interests are Processor Architecture, Operating Systems, Embedded Systems, IoT etc.
My lectures NPTEL A40+ hours of free lectures series on Arm Based Development:
ua-cam.com/play/PLbMVogVj5nJRDS4w20GO7l4SepLhuAj9X.html
A 30 hours of paid course on Microprocessors and Microcontrollers: Arm Cortex-M0+ (using RP2040) on NPTEL+:
elearn.nptel.ac.in/shop/nptel/microprocessors-and-microcontrollers-arm-cortex-m0-using-rp2040/
Email: moulisankaran712@gmail.com
My wife, Hema Ananthakrishnan, is s Veena artist, shares Carnatic and Isai Gnani Ilaiyaraaja's compositions on the Veena.
Happy listening and learning!!!
Lab8c: Cactus classification CNN Model porting to ESP32
This explains the Kaggle Cactus dataset classification using CNN model and converting it into TFLite model and porting it to ESP32.
Implementation (both Python and ESP32 code)
drive.google.com/file/d/19krSjXSO7mPGyg-jvWsf8B46vsZbYHL2/view?usp=sharing
Implementation (both Python and ESP32 code)
drive.google.com/file/d/19krSjXSO7mPGyg-jvWsf8B46vsZbYHL2/view?usp=sharing
Переглядів: 82
Відео
Lab6: Sine Wave Inferencing on ESP32
Переглядів 62Місяць тому
Two modes for Debugging Serial Monitor and Plotter Use of #ifdef and #ifndef ESP32 SW Architecture For better Performance Steps of Sine wave generation Running it on ESP32 Complex Function - Lab 6 Assignment
Lab5b Part2: Sine wave generation
Переглядів 38Місяць тому
Sine wave generation regression model development and porting it to ESP32
Lab5b: Part 1: Model of a Line
Переглядів 54Місяць тому
Understand the TF 2.0 Code Model of a Line tf.GradientTape() Method Exercise 1 Implement a Model of a Quadratic Equation
Lab5a: NumPy Performance comparison
Переглядів 57Місяць тому
Exercise 1 - EmpData Emp Data Array More info and help Output Expected Exercise 2 - Student Data Your own definition
Ses5C: Keras - 2: Extracting Weights and Biases
Переглядів 6Місяць тому
Hyperparameters Porting Keras model to Embedded Platform Extract the weights and Biases and Use them Save the Keras model into TFLite format and use it Extracting Weights and Biases Sample model (L1=5 nodes, L2=2 nodes) Extract them into array of floating-point values
Ses5B: Keras - 1: Sine Wave Generation
Переглядів 22Місяць тому
Sine Wave Generation Keras Sequential Model Construction of Neuron Structure of the Network Activation Function ReLU Keras: Optimizer Momentum (of Learning rate) Input and Output With 16 nodes With 32 nodes
Ses5A: TensorFlow - 2
Переглядів 32Місяць тому
Linear Regression Model Data Model Over-fit and Under-fit Cost or Loss Function MSE MAE Optimization Function Gradient Descent (GD) Stochastic Gradient Descent (SGD)
Lab 4: Message Queues and IPC in FreeRTOS
Переглядів 227Місяць тому
Inter-Processor Call Experiment A Experiment B - do it in the lab Inter Process Communication Message Queues Lab4_msgQ_exp0.ino Experiment 1 - do it in the lab
Ses4B: TensorFlow - 1
Переглядів 81Місяць тому
Dataflow Graphs in TensorFlow Nodes and Edges Tensors Properties Datatypes TensorFlow 1.0 Vs 2.0 Matrices Vs Tensors
Ses4A: Introduction to TensforFlow and Keras and Installation
Переглядів 46Місяць тому
References Introduction to Tensorflow Tensorflow Tookits Neural Network Model Creation Tensorflow and Keras
Ses3D: Exploring NumPy - 4: Part2
Переглядів 22Місяць тому
Creating ndim arrays - Ses6F_ndimArrays.py Indexing in NumPy - Ses6F_indexingNumPy.py
Ses3D: Exploring NumPy - 4: Part1
Переглядів 43Місяць тому
Broadcasting in NumPy With Scalar Rule Definition More Examples Quiz 1
Ses3C: Exploring NumPy - 3
Переглядів 58Місяць тому
Image Pixel Map 8x8x3: 3D array of Colour Image N-Dimensional Arrays in NumPy 1D, 2D, 3D and 4D Arrays Axis, Shape, etc. Matrix Operations on a 4D Array
Ses3B: Exploring NumPy - 2
Переглядів 80Місяць тому
Continuation of Session 3A More about NumPy Datatypes Endianness of Datatypes Dot Products With and Without NumPy Performance Comparison
Ses2C: Wireless Sensor Networks (WSN)
Переглядів 1052 місяці тому
Ses2C: Wireless Sensor Networks (WSN)
Ses2B Part2: Wireless technologies (short range)
Переглядів 532 місяці тому
Ses2B Part2: Wireless technologies (short range)
Ses2B Part1: Wireless technologies (short range)
Переглядів 692 місяці тому
Ses2B Part1: Wireless technologies (short range)
Ses1B Part1: Layered Architecture of IoT
Переглядів 742 місяці тому
Ses1B Part1: Layered Architecture of IoT
Ses1C: Application Protocols and SDP for IoT
Переглядів 1312 місяці тому
Ses1C: Application Protocols and SDP for IoT
Ses1B Part2: Reference Architecture for IoT
Переглядів 842 місяці тому
Ses1B Part2: Reference Architecture for IoT
Awesome session yr keep going and keep uploading such nyc content
Next session on the same please
❤
❤
❤
Please upload all the classes
This is working fine , I realises you added @class method later.
Hi sir, At 20:03, on line number 36, if we replace class name with the self, I am not able to understand why we are getting an error, although if we write myObj1. printAllClsAttribs() on line number 54 works fine.
Thank you. Best wishes to you!!
im your biggest fan wowowowo
love you sir
Thank a lot sir
Love it!!!!!!! Thanks for Sharing!!!!!!!!!!!!!!!
"Promo sm" 😒
🙏♥️
Awesome Prof. Mouli!!!
Thank you sir!!!
Great work 🙏🙏
Thank you 🙌