Steam

.

.

Sections

Lessons

1. Deep Neural Networks ANN

Deeo Neural Networks ANN

1 Resource

Deeo Neural Networks ANN

2. Stochastic Gradient Descent

Stochastic Gradient Descent

5 Resource

Stochastic Gradient Descent
DL1.ipynb
DL 2.ipynb
DL 3.ipynb
Olive_oil .csv

3. Overfitting and Underfitting

Overfitting and Underfitting

2 Resource

Overfitting and Underfitting
DL5.ipynb

4. Dropout and Batch Normalization

Dropout and Batch Normalization

5 Resource

Dropout and Batch Normalization
spotify.csv
concrete.csv
DL7.ipynb
DL8.ipynb

Live Session1 2\3 1:00 pm

Live Session Link

2 Resource

live session link
Live Session Record

5. Binary Classification

Binary Classification

5 Resource

Binary Classification
DL9.ipynb
DL10.ipynb
ion.csv
hotel.csv

6. The Convolutional Classifier

The Convolutional Classifier

3 Resource

The Convolutional Classifier
Notebook.ipynb
Data Set.zip

Live Session2 16\3 1:00 pm

Live Session link

1 Resource

live session link

7. Convolution and ReLU & Maximum Pooling

Convolution and ReLU

3 Resource

Convolution and ReLU
Maximum Pooling
Cv3.ipynb

8. The Sliding Window , Custom Convnets

The Sliding Window , Custom Convnets

4 Resource

The Sliding Window , Custom Convnets
CV 7.ipynb
CV 9.ipynb
CV 10.ipynb

Live Session3 30\3 1:00 pm

Live Session Link

1 Resource

live session link

9. Data Augmentation , Object Detection YOLO5

Data Augmentation , Object Detection YOLO5

3 Resource

Data Augmentation , Object Detection YOLO5
CV11.ipynb
YOLO 5.ipynb