AI by Dawood

@UCG60494XrcyYQ3hFJ1i8IXg - 318 subscribers

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1. ANN - Artificial Neural Network | Deep Learning

1. ANN - Artificial Neural Network | Deep Learning AI by Dawood

145 views - 5 months ago

Lec-9: A Simplified Introduction to Logistic Regression

Lec-9: A Simplified Introduction to Logistic Regression AI by Dawood

39 views - 6 months ago

2. Graph Types, Graph Tasks & Graph Pooling

2. Graph Types, Graph Tasks & Graph Pooling AI by Dawood

38 views - 6 months ago

1. Graph Neural Networks | Introduction & Message Passing Mechanism

1. Graph Neural Networks | Introduction & Message Passing Mechanism AI by Dawood

174 views - 6 months ago

6. DenseNets (Dense Convolutional Networks)

6. DenseNets (Dense Convolutional Networks) AI by Dawood

115 views - 11 months ago

5. ResNets (Residual Networks)

5. ResNets (Residual Networks) AI by Dawood

298 views - 1 year ago

4. VGG (Visual Geometry Group)

4. VGG (Visual Geometry Group) AI by Dawood

203 views - 1 year ago

3. The Pooling Layer in the Convolutional Neural Networks

3. The Pooling Layer in the Convolutional Neural Networks AI by Dawood

119 views - 1 year ago

2. The Convolutional Layer in the Convolutional Neural Networks

2. The Convolutional Layer in the Convolutional Neural Networks AI by Dawood

150 views - 1 year ago

1. Computer Vision | Course Introduction & Convolutional Neural Networks

1. Computer Vision | Course Introduction & Convolutional Neural Networks AI by Dawood

147 views - 1 year ago

Lec-8: Classification | Thresholding | Activation Functions | Decision Boundary

Lec-8: Classification | Thresholding | Activation Functions | Decision Boundary AI by Dawood

102 views - 1 year ago

Lec-7: Regression Evaluation Metrics: MAE, MSE, RMSE, & MSLE

Lec-7: Regression Evaluation Metrics: MAE, MSE, RMSE, & MSLE AI by Dawood

155 views - 1 year ago

Lec-6: Multiple Linear Regression and Polynomial Regression

Lec-6: Multiple Linear Regression and Polynomial Regression AI by Dawood

96 views - 1 year ago

Lec-5: Linear Regression: Equation, Examples and Explanation

Lec-5: Linear Regression: Equation, Examples and Explanation AI by Dawood

266 views - 2 years ago

Lec-4: Errors in Machine Learning: Absolute Error, Squared Error and Sum of Squared Errors

Lec-4: Errors in Machine Learning: Absolute Error, Squared Error and Sum of Squared Errors AI by Dawood

127 views - 2 years ago

Lec-3: Unsupervised Learning & Reinforcement Learning

Lec-3: Unsupervised Learning & Reinforcement Learning AI by Dawood

268 views - 2 years ago

Lec-2: Types of Machine Learning | Supervised Learning

Lec-2: Types of Machine Learning | Supervised Learning AI by Dawood

180 views - 2 years ago

Lec-1: Introduction to Machine Learning & The Machine Learning Process

Lec-1: Introduction to Machine Learning & The Machine Learning Process AI by Dawood

344 views - 2 years ago