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AI with Thakshila
Canada
เข้าร่วมเมื่อ 21 ม.ค. 2020
A passionate educator, trainer, and developer in the fields of Robotics, Image Processing Data Science, Machine Learning, and Deep Learning, who guides the community with the latest research findings and technologies in the subjective fields.
Deep Learning Ep18 - Neural Network Integrated WebApp Development | Heart Disease Risk Prediction
This video covers how to develop a website using Python's Flask framework and integrate a Neural Network to predict heart disease risk levels.
You can download the code used in this video here: drive.google.com/drive/folders/1APceJd2MSuHI9OMnnEi0LqmGJjS_-WgJ?dmr=1&ec=wgc-drive-globalnav-goto
You can download the code used in this video here: drive.google.com/drive/folders/1APceJd2MSuHI9OMnnEi0LqmGJjS_-WgJ?dmr=1&ec=wgc-drive-globalnav-goto
มุมมอง: 47
วีดีโอ
Machine Learning Ep9 - Deploying Machine Learning Models in PythonAnywhere
มุมมอง 237 ชั่วโมงที่ผ่านมา
This video covers how to deploy trained machine learning models in PythonAnywhere. The webapp development and machine learning model implementation are discussed in previous episodes, Flask WebApp Development: th-cam.com/video/GiX9khqPQZM/w-d-xo.html Watch the handwritten digits classification model implementation here: th-cam.com/video/VK560MBAwy4/w-d-xo.html You can download the code used in ...
Machine Learning Ep8 - Let's Develop a AI Integrated Website to Classify Handwritten Digits
มุมมอง 359 ชั่วโมงที่ผ่านมา
This video covers how to develop a website using Python's Flask framework. We then integrate a handwritten digits classification model, previously implemented in Machine Learning Ep2, into the website to classify handwritten digits. Watch the handwritten digits classification model implementation here: th-cam.com/video/VK560MBAwy4/w-d-xo.html You can download the code used in this video here: g...
Machine Learning Ep7 - Let's Develop a AI Integrated Website to Predict Heart Disease Risk
มุมมอง 7112 ชั่วโมงที่ผ่านมา
This video covers how to develop a website using Python's Flask framework. We then integrate a heart disease risk level prediction model, previously implemented in Machine Learning Ep4, into the website to allow for real-time risk level predictions. Watch the heart disease risk prediction model implementation here: th-cam.com/video/sqw3volyk_g/w-d-xo.html You can download the code used in this ...
Deep Learning Ep17 - Implementing a GAN from Scratch using Keras | Fake data generation
มุมมอง 8114 ชั่วโมงที่ผ่านมา
In this video we discuss how to implement our own Generative Adversarial Network for a Fake data generation. GAN theory: th-cam.com/video/GZ9a3Fb2F7s/w-d-xo.html Download codes and materials: github.com/aieml/DLNN-Week-08-GANs
Deep Learning Ep16 - Generative Adversarial Networks, Theory and Applications | GANs | Generative AI
มุมมอง 7416 ชั่วโมงที่ผ่านมา
In this video we discuss about Generative Adversarial Networks (GAN), Theory and Applications. The main highlights of this video are, 1. Introduction to generative AI 2. Introduction to GANs 3. GAN history and Applications 4. GAN architecture, Generator and Discriminator 5. Training of a GAN Download the material used in this video: github.com/aieml/DLNN-Week-08-GANs
Deep Learning Ep15 - Implementing a Denoising Autoencoder from Scratch using Keras
มุมมอง 2419 ชั่วโมงที่ผ่านมา
In this video we discuss how to implement our own autoencoder for a denoising application. Autoencoder theory: th-cam.com/video/Owrw83mrpIg/w-d-xo.html Download codes and materials: github.com/aieml/DLNN-08
Deep Learning Ep14 - What is an Autoencoder, How Does it Work and Applications
มุมมอง 7421 ชั่วโมงที่ผ่านมา
In this video we introduce Unsupervised Deep Learning and then discuss about one of unsupervised type neural network, Autoencoders. Autoencoders are neural networks designed to learn efficient, compressed representations of data by encoding input into a lower-dimensional space and then decoding it back to its original form. The highlights of this video are, 1. Introduction to unsupervised learn...
Deep Learning Ep13 - Apple Stock Market Predictions using LSTMs
มุมมอง 129วันที่ผ่านมา
In this video we discuss how to implement our own LSTM to predict apple stock market values. RNN and LSTM theory: th-cam.com/video/R9X5ZDO_nBo/w-d-xo.html Download codes and materials: github.com/aieml/DLNN-Week-07
Deep Learning Ep12 - Recurrent Neural Networks and Long Short Term Memory Cells Theory | RNNs, LSTMs
มุมมอง 63วันที่ผ่านมา
In this video we discuss about Recurrent Neural Networks (RNNs) and Long Short Term Memory Cells (LSTMs) Theory. The highlights of this video are, 1. Time series data and time series predictions 2. Introduction to recurrent cells 3. Backpropagation through time 4. Vanishing and exploding gradient problems 5. Long short term memory cells Download the material used in this video: github.com/aieml...
Deep Learning Ep11 - Object Detection using TensorFlow Object Detection API
มุมมอง 70วันที่ผ่านมา
In this video we discuss the remaining part of the NVIDIA self driving car episode (episode 9). Then we move on to the Tensorflow Object Detection API and discuss how to detect object using it and how to customize it. Download codes and materials: github.com/aieml/DLNN-Week-06 Link to the TensorFlow Object Detection API tutorial: th-cam.com/video/Vz477oxfo-E/w-d-xo.html
Deep Learning Ep10 - Implement a Self Driving Driving Car using CNNs | NVIDIA self driving car
มุมมอง 64วันที่ผ่านมา
In this video we discuss how to implement test the cat & dog detection CNN we implemented in last video and use it for inference. Then we move on to self driving cars and implement our own self driving car using CNNs Download codes and materials: github.com/aieml/DLNN-Week-05
Deep Learning Ep9 - Implement our own Convolutional Neural Network - Cat & Dog classification
มุมมอง 8314 วันที่ผ่านมา
In this video we discuss how to implement our own CNN using Keras. The example we consider is cat and dog classification. Download codes and materials: github.com/aieml/DLNN-Week-04
Deep Learning Ep8 - Convolutional Neural Networks Theory
มุมมอง 8014 วันที่ผ่านมา
In this video we discuss about convolutional neural networks (CNNs). The highlights of this video are, 1. Introduction to image features 2. Introduction to CNN architecture 3. Image filters/kernels 4. Convolutions layers 5. ReLU, maxpolling and flatten layers Download the material used in this video: github.com/aieml/DLON-Week-04
Deep Learning Ep5 - Backpropagation Algorithm & Implementing Your First Neural Network using Keras
มุมมอง 10214 วันที่ผ่านมา
In this video we discuss about the backpropagation algorithm in detail. Later we move to implementing our first neural network using Keras for Iris flower problem. Download the material used in this video: drive.google.com/drive/folders/1zfiyZpLU0zAc_ieI5LAJuGK24zklmhy8
Deep Learning Ep4 - Activation Functions & Learning Rate Optimizers
มุมมอง 7714 วันที่ผ่านมา
Deep Learning Ep4 - Activation Functions & Learning Rate Optimizers
Deep Learning Ep3 - Loss optimization and Stochastic Gradient Decent
มุมมอง 7314 วันที่ผ่านมา
Deep Learning Ep3 - Loss optimization and Stochastic Gradient Decent
Deep Learning Ep2 - Introduction to Feed Forward Neural Networks
มุมมอง 7814 วันที่ผ่านมา
Deep Learning Ep2 - Introduction to Feed Forward Neural Networks
Deep Learning Ep1 - Introduction to AI, Machine Learning & Deep Learning, Supervised Learning
มุมมอง 17914 วันที่ผ่านมา
Deep Learning Ep1 - Introduction to AI, Machine Learning & Deep Learning, Supervised Learning
Image Processing Episode 4 - Morphological Operations & Object Tracking
มุมมอง 4221 วันที่ผ่านมา
Image Processing Episode 4 - Morphological Operations & Object Tracking
Image Processing Episode 3 - Color Segmentation, Neighborhood Operations, Lane Detection Project
มุมมอง 1621 วันที่ผ่านมา
Image Processing Episode 3 - Color Segmentation, Neighborhood Operations, Lane Detection Project
Image Processing Episode 2 - Color Conversions, Thresholding, Contour Operations
มุมมอง 2321 วันที่ผ่านมา
Image Processing Episode 2 - Color Conversions, Thresholding, Contour Operations
Advanced Python Episode 05 (Part 2) - Creating a GUI for Handwritten Digits Recognition
มุมมอง 4721 วันที่ผ่านมา
Advanced Python Episode 05 (Part 2) - Creating a GUI for Handwritten Digits Recognition
Image Processing Episode 1 - Introduction to image representation in computers and OpenCV
มุมมอง 7821 วันที่ผ่านมา
Image Processing Episode 1 - Introduction to image representation in computers and OpenCV
Machine Learning Ep6 - Principal Component Analysis (PCA) and Feature Engineering
มุมมอง 8321 วันที่ผ่านมา
Machine Learning Ep6 - Principal Component Analysis (PCA) and Feature Engineering
Machine Learning Ep5 - Introduction to Unsupervised Learning and Clustering Algorithms
มุมมอง 7121 วันที่ผ่านมา
Machine Learning Ep5 - Introduction to Unsupervised Learning and Clustering Algorithms
Machine Learning Ep4 - Linear and Polynomial Regression
มุมมอง 3921 วันที่ผ่านมา
Machine Learning Ep4 - Linear and Polynomial Regression
Machine Learning Ep3 - Support Vector Machine
มุมมอง 3721 วันที่ผ่านมา
Machine Learning Ep3 - Support Vector Machine
Machine Learning Ep2 - Handwritten digits recognition with K Nearest Neighbor
มุมมอง 7621 วันที่ผ่านมา
Machine Learning Ep2 - Handwritten digits recognition with K Nearest Neighbor
Machine Learning Ep1 - Introduction to Supervised Machine Learning
มุมมอง 17221 วันที่ผ่านมา
Machine Learning Ep1 - Introduction to Supervised Machine Learning
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Thank you! , sir.... Looking forward to the "Reinforcement learning" lecture.
Hi Malaka, You are welcome! Sure, stay tuned with us, more videos are coming. Check my Sinhala channel as well th-cam.com/channels/JfKpjlnsYtnNm44YP8sVKg.html
Thank you , it's most valuable
You are welcome ❤. Check my Sinhala channel as well. More videos are coming th-cam.com/channels/JfKpjlnsYtnNm44YP8sVKg.html
🤩🤩
Do you delete this playlist or keep it forever as public? 😊
Hi Ushan, these new playlists will be there as public hereafter. Also, all the ML, DL and Image processing content in this channel will be available in Sinhala in my Sinhala TH-cam channel as well. th-cam.com/channels/JfKpjlnsYtnNm44YP8sVKg.html
@@AIThaki ok Thanks.. dear 🤗
With learning maths we can learn ml and deep learning and ai and llm it important or not reply sir😊
Yes, a strong foundation in mathematics is essential for understanding and excelling in ML, DL, AI, and LLMs.
Thanks for this course. thanks again!
Glad you like it!
Ayye Python class karann nedda den??
Hi Lakshitha, classes karanawa. Aluth advance courses tikak patan ganna inne issarahata.
Thank you for the course, ❤
You are welcome ❤. Check my Sinhala channel as well. More videos are coming th-cam.com/channels/JfKpjlnsYtnNm44YP8sVKg.html
Time stamps bhi add krdo😅
Will u bring more course
Yes indeed. New videos are uploaded daily.
Sir is this complete machine learning course
@@islahandfacts.1087 Hi, one or two more episodes are yet to come.
Great stuff. Thank you for sharing. subbed long before.
Thank you! ❤ stay tuned with us more videos are coming
Sir can you make video gate in aids class for ml class or maths
Can you do more explanation on oop in python using English? Many thanks
Sure, I will upload a OOP english series soon.
Can you record this OOP course again in English?
hi! your course is really awesome! can you note down what we will learn in this full course episode? :)
Sir aimath class karanne nadda
Hi, classes karanawa. Aluth advance courses tikak patan ganna inne issarahata.
Ayye Dan Edexcope Site eka nadda . Avaibale SIte eke Link eka ewnnko
Hi Malli, thaama website eka fix kale ne. Ikamantama fix karanawa.
What is correlation between haar cascade and CNN?
best lecture for this project
Bro I tried a lot to fix the error but I couldn't solve the error so please help me to solve the error in training file it's showing that input_shape is an unexpected keyword argument
Can you guide me sir, if I want to write the same code in vizual studio then how can I do it?
Very useful. Thank you❤
the metdata.csv file is differrent in the video as copare to file uploaded on github kindly help if anyone know where i am wrong
Gian ho aap
Hello sir i getting this error how to solve it ImportError: cannot import name 'np_utils' from 'keras.utils' (C:\Anacond3\Lib\site-packages\keras\utils\__init__.py)
I'm new in machine learning, can anybody explain me which cnn model used in this video ??
This man deserve billions of harts ♥♥♥♥
error: OpenCV(4.6.0) C:\b\abs_f8n1j3l9l0\croot\opencv-suite_1691622637237\work\modules\highgui\src\window.cpp:1267: error: (-2:Unspecified error) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Cocoa support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function 'cvShowImage' , i am getting the error like this what should i do know
need translate in arabic
bhai isme no mask hi aara h mask to arar hi nhi
please make a video of real time too
Pls any one explain the step of coordinate ...any one pls....plz
source=cv2.VideoCapture(2) ---it would be source=cv2.VideoCapture(0) in case of window. Take care of this part
can we have the source code
this is amazing tutorial.could you please give those links to non linear activation functions tutorial 🤩
❤
Already got first 2 python videos .ipython files. But there are no files related to videos 3, 4, 5 and 6.
drive.google.com/drive/folders/1PkGCVfZxem502gIMqs1kQfZnNfVEkYe2 drive.google.com/drive/folders/1ORWDOeyY8vr2AnOpvNpAlkcNC3suTil0
@@AIThaki Thank you very much sir. Great work. keep it up.
Very valuable sir. ❤ Can you please give me these .ipython files (Your lecture slides)?
Hello, please check the GitHub link given in the video description. You can find the codes there.
where is the testimages folder created....can anyone help me with that
How to do over fitting and under fitting in computer vision
Hello sir, the code is not detecting my face with a mask. Please suggest some changes for the same. Also, my camera is working fine and the background light is proper too.
Same thing happened with me but then I realised....as you can see in the dataset with mask photos are only with white Mask that is the reason and our model got trained on this....and you may be wearing different coloured mask other than white,try wearing a white Mask and see
Thanks a lot for the content. Great video...
Thank you for your best explanation,,it is very very useful for me and it's 100%working.
Can you share the bundle_archive folder?
Thanks bhai
source code please....full tutorial please upload
bro iam facing ModuleNotFoundError: No module named 'google' this error when i try to compile keras.utils to import np_utils. kindly help me in this bro.