Канал: Datum Learning

nn.BCELoss fully discussed | Binary Cross Entropy Loss | torch.nn.BCELoss | PyTorch functions

nn.BCELoss fully discussed | Binary Cross Entropy Loss | torch.nn.BCELoss | PyTorch functions

Indicators in Stock Market in Python | Ep - 3 | pandas-ta | SMA and bbands | Technical Analysis

Indicators in Stock Market in Python | Ep - 3 | pandas-ta | SMA and bbands | Technical Analysis

Multiple Stocks analysis in Python | Ep - 2 | Stocks Analysis in Python.

Multiple Stocks analysis in Python | Ep - 2 | Stocks Analysis in Python.

nn.MSELoss fully discussed | Mean Squared Error Loss | torch.nn.MSELoss | PyTorch functions

nn.MSELoss fully discussed | Mean Squared Error Loss | torch.nn.MSELoss | PyTorch functions

nn.L1Loss fully discussed | Mean Absolute Loss | torch.nn.L1Loss | PyTorch functions

nn.L1Loss fully discussed | Mean Absolute Loss | torch.nn.L1Loss | PyTorch functions

nn.Softmax fully discussed | torch.nn.Softmax | PyTorch functions

nn.Softmax fully discussed | torch.nn.Softmax | PyTorch functions

nn.Tanh fully discussed | torch.nn.Tanh | PyTorch functions

nn.Tanh fully discussed | torch.nn.Tanh | PyTorch functions

nn.Sigmoid fully discussed | torch.nn.Sigmoid | PyTorch functions

nn.Sigmoid fully discussed | torch.nn.Sigmoid | PyTorch functions

nn.LeakyReLU fully discussed | torch.nn.LeakyReLU | PyTorch functions

nn.LeakyReLU fully discussed | torch.nn.LeakyReLU | PyTorch functions

nn.ReLU fully discussed | torch.nn.ReLU | PyTorch functions

nn.ReLU fully discussed | torch.nn.ReLU | PyTorch functions

nn.Linear fully discussed | torch.nn.Linear | PyTorch functions

nn.Linear fully discussed | torch.nn.Linear | PyTorch functions

torch.nn fully discussed | PyTorch functions

torch.nn fully discussed | PyTorch functions

Simple Stock Data Analysis in Python | Ep - 1 | Stock market analysis in python.

Simple Stock Data Analysis in Python | Ep - 1 | Stock market analysis in python.

P3 -Linear Regression in Machine Learning | Training,mean squared error. Apple Stock price Dataset.

P3 -Linear Regression in Machine Learning | Training,mean squared error. Apple Stock price Dataset.

P2 -Logistic Regression in Machine Learning | Training, accuracy, confusion matrix. Titanic Dataset.

P2 -Logistic Regression in Machine Learning | Training, accuracy, confusion matrix. Titanic Dataset.

P1 - Data Processing in Machine Learning | null (missing) values, one hot encoding. Titanic Dataset.

P1 - Data Processing in Machine Learning | null (missing) values, one hot encoding. Titanic Dataset.

Keras Series - 1 | Iris Dataset using Neural Network | Deep Learning.

Keras Series - 1 | Iris Dataset using Neural Network | Deep Learning.

How to MASTER ChatGPT for coding.

How to MASTER ChatGPT for coding.

$0/month. How AI will take over jobs? (** as a programmer)

$0/month. How AI will take over jobs? (** as a programmer)

$1/min - CarynAI - AI girlfriend.

$1/min - CarynAI - AI girlfriend.

Transformer Agents from Huggingface | NLP API for Transformer

Transformer Agents from Huggingface | NLP API for Transformer

100k token length LLM (Large Language Model). Anthropic Claude

100k token length LLM (Large Language Model). Anthropic Claude

ImageBind Meta AI | Multimodal retrieval algorithm

ImageBind Meta AI | Multimodal retrieval algorithm

Chatbot using DialoGPT(GPT2) and streamlit_chat | PyTorch Deep Learning Chatbot on local machine- PC

Chatbot using DialoGPT(GPT2) and streamlit_chat | PyTorch Deep Learning Chatbot on local machine- PC

Semantic segmentation in PyTorch. Deeplab tutorial.

Semantic segmentation in PyTorch. Deeplab tutorial.

Image search engine using Python and PyTorch. Query similar images from database.

Image search engine using Python and PyTorch. Query similar images from database.

Stock Price prediction using LSTM | Time Series data for LSTMs

Stock Price prediction using LSTM | Time Series data for LSTMs

Streamlit Tutorial - 13 | Caching - st.cache_data , st.cache_resource

Streamlit Tutorial - 13 | Caching - st.cache_data , st.cache_resource

Streamlit Tutorial - 12 | Session states in Streamlit

Streamlit Tutorial - 12 | Session states in Streamlit

Simple Chatbot using PyTorch - 4 | Giving queries and using the chatbot.

Simple Chatbot using PyTorch - 4 | Giving queries and using the chatbot.

Streamlit Tutorial - 11 | Mutate charts, add_rows.

Streamlit Tutorial - 11 | Mutate charts, add_rows.

Streamlit Tutorial - 10 | st.stop , st.form , st.set_page_config , st.echo , st.help

Streamlit Tutorial - 10 | st.stop , st.form , st.set_page_config , st.echo , st.help

Simple Chatbot using PyTorch - 3 | Creating and training the Neural Network model.

Simple Chatbot using PyTorch - 3 | Creating and training the Neural Network model.

Streamlit Tutorial - 9 | Status elements - st.progress, spinner, balloons, error, warning, exception

Streamlit Tutorial - 9 | Status elements - st.progress, spinner, balloons, error, warning, exception

Streamlit Tutorial - 8 | Layout elements. st.sidebar, st.columns, st.tabs, st.expander, st.container

Streamlit Tutorial - 8 | Layout elements. st.sidebar, st.columns, st.tabs, st.expander, st.container

Simple Chatbot using PyTorch - 2 | Creating data for training. Rules based intent based chatbot.

Simple Chatbot using PyTorch - 2 | Creating data for training. Rules based intent based chatbot.

Streamlit Tutorial - 7 | strea,lit media elements - st.image , st.audio , st.video

Streamlit Tutorial - 7 | strea,lit media elements - st.image , st.audio , st.video

Streamlit Tutorial - 6 | text_area, date_input, time_input, file_uploader, camera_input , color_pick

Streamlit Tutorial - 6 | text_area, date_input, time_input, file_uploader, camera_input , color_pick

Simple Chatbot using PyTorch - 1 | Creating vocabulary. Rules based intent based chatbot, Neural Net

Simple Chatbot using PyTorch - 1 | Creating vocabulary. Rules based intent based chatbot, Neural Net

Streamlit Tutorial - 5 | input widget - multiselect, slider, select_slider, text_input, number_input

Streamlit Tutorial - 5 | input widget - multiselect, slider, select_slider, text_input, number_input

Streamlit Tutorial - 4, input widget streamlit button, download_button , checkbox , radio, selectbox

Streamlit Tutorial - 4, input widget streamlit button, download_button , checkbox , radio, selectbox

Streamlit Tutorial - 3 for beginners | streamlit st.line_chart , st.bar_chart , st.pyplot , st.map

Streamlit Tutorial - 3 for beginners | streamlit st.line_chart , st.bar_chart , st.pyplot , st.map

Streamlit Tutorial - 2 for beginners | streamlit st.dataframe , st.table , st.metric , st.json

Streamlit Tutorial - 2 for beginners | streamlit st.dataframe , st.table , st.metric , st.json

Streamlit Tutorial - 1 for beginners| streamlit st.text, st.write, st.code | text , write, code.

Streamlit Tutorial - 1 for beginners| streamlit st.text, st.write, st.code | text , write, code.

Mask RCNN finetuning using PyTorch. PennFudan dataset. Image Instance segmentation on Custom dataset

Mask RCNN finetuning using PyTorch. PennFudan dataset. Image Instance segmentation on Custom dataset

Convolutional Autoencoders in PyTorch | Generating new digits in PyTorch.

Convolutional Autoencoders in PyTorch | Generating new digits in PyTorch.

Simple autoencoder in PyTorch | Generating new MNIST digits in PyTorch.

Simple autoencoder in PyTorch | Generating new MNIST digits in PyTorch.

Faster-RCNN finetuning with PyTorch. Object detection using PyTorch. Custom dataset. Wheat detection

Faster-RCNN finetuning with PyTorch. Object detection using PyTorch. Custom dataset. Wheat detection

(NMS) Non Maximum Suppression explained in detail using example. NMS algorithm explained.

(NMS) Non Maximum Suppression explained in detail using example. NMS algorithm explained.

(IOU) Intersection over union explained. With Python Code. IOU formula explained.

(IOU) Intersection over union explained. With Python Code. IOU formula explained.

Object segmentation using Mask-RCNN in PyTorch for Images.

Object segmentation using Mask-RCNN in PyTorch for Images.

Counting Coin in an Image using OpenCV Python.

Counting Coin in an Image using OpenCV Python.

Face Recognition in Python OpenCV | DeepFace

Face Recognition in Python OpenCV | DeepFace

Object Tracking using Opencv Python project | Code on Github with video files

Object Tracking using Opencv Python project | Code on Github with video files

Faster RCNN for Images in Google Colab using cv2.dnn module | Object Detection using Opencv python

Faster RCNN for Images in Google Colab using cv2.dnn module | Object Detection using Opencv python

Object Detection using OpenCV python | Single Shot Detector (SSD) for Images in Google Colab, cv2

Object Detection using OpenCV python | Single Shot Detector (SSD) for Images in Google Colab, cv2

Object detection and segmentation using YOLOv8 for Images | Image/Object segmentation using Python

Object detection and segmentation using YOLOv8 for Images | Image/Object segmentation using Python

Object segmentation in a video using YOLOv8 for a video | Video /Image segmentation using YOLOv8

Object segmentation in a video using YOLOv8 for a video | Video /Image segmentation using YOLOv8

Object Detection using PyTorch for images using Faster RCNN | PyTorch object detection in colab

Object Detection using PyTorch for images using Faster RCNN | PyTorch object detection in colab

Object Detection best model / best algorithm in 2023 | YOLO vs SSD vs Faster-RCNN comparison Python

Object Detection best model / best algorithm in 2023 | YOLO vs SSD vs Faster-RCNN comparison Python

Object Detection using PyTorch for image using SSD | Single Shot Detection in Google Colab - Python

Object Detection using PyTorch for image using SSD | Single Shot Detection in Google Colab - Python

Interpretation of object detection bounding box coordinates for YOLO | Object detection using Python

Interpretation of object detection bounding box coordinates for YOLO | Object detection using Python

object detection custom dataset using Yolov8 and Python | custom object detection in Google Colab

object detection custom dataset using Yolov8 and Python | custom object detection in Google Colab

Video object detection using Yolov8 CLI | object detection in video using Google Colab

Video object detection using Yolov8 CLI | object detection in video using Google Colab

Yolov8 image object detection python | object detection google colab and YOLO | bounding box yolov8

Yolov8 image object detection python | object detection google colab and YOLO | bounding box yolov8

What is object detection? Object detection explained.in detail.

What is object detection? Object detection explained.in detail.

R-CNN in depth

R-CNN in depth

2. iloc, loc, sample , sort_values | Pandas series for Beginners

2. iloc, loc, sample , sort_values | Pandas series for Beginners

1. Pandas series for beginners | read_csv, head, tail, to_numpy, list to dataframe.

1. Pandas series for beginners | read_csv, head, tail, to_numpy, list to dataframe.

Collate function in PyTorch. Custom Collate

Collate function in PyTorch. Custom Collate

Samplers in PyTorch.

Samplers in PyTorch.

13. LSTM | Long Short Term Memory.

13. LSTM | Long Short Term Memory.

12. RNN. Recurrent Neural Network in PyTorch.

12. RNN. Recurrent Neural Network in PyTorch.

11. Transfer Learning in PyTorch.

11. Transfer Learning in PyTorch.

10(B). CNN | Convolutional Neural Network in PyTorch.

10(B). CNN | Convolutional Neural Network in PyTorch.

10(A). CNN | Convolutional Neural Network theory.

10(A). CNN | Convolutional Neural Network theory.

9. Activation functions in PyTorch.

9. Activation functions in PyTorch.

8. Transforms in Torchvision PyTorch.

8. Transforms in Torchvision PyTorch.

7. Neural Network in PyTorch.

7. Neural Network in PyTorch.

6 Dataset and DataLoader in PyTorch.

6 Dataset and DataLoader in PyTorch.

5. Autograd for backpropagation in PyTorch.

5. Autograd for backpropagation in PyTorch.

4. Tensors in PyTorch.

4. Tensors in PyTorch.

10 Most commonly used functions in PyTorch.

10 Most commonly used functions in PyTorch.

3. Logistic Regression on Breast Cancer dataset using PyTorch.

3. Logistic Regression on Breast Cancer dataset using PyTorch.

Simplest Dataset for learning machine learning

Simplest Dataset for learning machine learning

2. Logistic Regression with PyTorch.

2. Logistic Regression with PyTorch.

1 - Linear Regression with PyTorch.

1 - Linear Regression with PyTorch.

New PyTorch Series. Announcement

New PyTorch Series. Announcement

SOFTMAX function in ML | Intuition and derivation in detail

SOFTMAX function in ML | Intuition and derivation in detail

Cross Entropy, Binary Cross Entropy and KL Divergence | Beginner Explanation

Cross Entropy, Binary Cross Entropy and KL Divergence | Beginner Explanation

Entropy in machine learning in detail | Intuitive introduction for beginners

Entropy in machine learning in detail | Intuitive introduction for beginners

Word2vec basics | Introduction | S4 E0 | Numbwords.

Word2vec basics | Introduction | S4 E0 | Numbwords.

YOLO Basic Introduction. | You only LIVE once. | Object Detection.

YOLO Basic Introduction. | You only LIVE once. | Object Detection.

Haar Features. | In detail. | Viola Jones | Face Uncensored. | Face Detection.

Haar Features. | In detail. | Viola Jones | Face Uncensored. | Face Detection.

CREATE your dataset . | Requested video - 1

CREATE your dataset . | Requested video - 1

Face Detection Basics | Viola Jones Algorithm | Face Uncensored. | S3 E1 | Haar Cascades | ML.

Face Detection Basics | Viola Jones Algorithm | Face Uncensored. | S3 E1 | Haar Cascades | ML.

Introduction | Face Detection and Recognition | Face Uncensored. | S3 E0 | ML | CNN | DL | OpenCV.

Introduction | Face Detection and Recognition | Face Uncensored. | S3 E0 | ML | CNN | DL | OpenCV.

Basic Linear Regression | Tensorflow | S1 E6 | Absolute beginners | Python | Machine Learning

Basic Linear Regression | Tensorflow | S1 E6 | Absolute beginners | Python | Machine Learning

Feature Selection - 4 | LESS IS MORE. | SelectFromModel() | RFE() | S2 E4 | Machine Learning.

Feature Selection - 4 | LESS IS MORE. | SelectFromModel() | RFE() | S2 E4 | Machine Learning.

Feature selection - 3 | SelectKBest | SelectPercentile | Less is More. | S2 E3 | Machine Learning.

Feature selection - 3 | SelectKBest | SelectPercentile | Less is More. | S2 E3 | Machine Learning.

Feature Selection - 2 | solutions of problems | Less is More | S2 E2 | Machine Learning.

Feature Selection - 2 | solutions of problems | Less is More | S2 E2 | Machine Learning.

Feature Selection - 1 | Problems in dataset | Less is More | S2 E1 | Over-fitting | Machine Learning

Feature Selection - 1 | Problems in dataset | Less is More | S2 E1 | Over-fitting | Machine Learning

Error functions | Linear Regression | S1 E2 | Datum Learning | Beginners series.

Error functions | Linear Regression | S1 E2 | Datum Learning | Beginners series.

Linear Regression | Intuition | S1 E1 | Datum Learning.

Linear Regression | Intuition | S1 E1 | Datum Learning.