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Lecture No 15 : Pandas: Working with and Saving Data
Sequential models in keras
4 - Histogram matching - Duration
Neural Network Debugging with TensorBoard
What's new features in TensorFlow 2.0? eager execution
Tensor Creation and Visualization of Higher Dimensional Tensors
Beyond sequential models: the functional API
Data Prediction
How to choose the correct activation function
2 - Demo - Enhancement & Histogram modification - Duration
6 - JPEG_LS and MPEG - Duration
Designing the LSTM network in Keras
Introduction to Data, Signal, and Image Analysis with MATLAB"Introduction"
8 - Demo - Wiener and Box filters - Duration
Convolution Filtering
Image classification with Imagenet and Resnet50
4 - The Discrete Cosine Transform (DCT) - Duration
3 - Histogram equalization - Duration
3 - PDEs and Inpainting - Duration
Editing Text& Section Designes
Lecture No 24 : Working with different file formats (csv, xml, json, xlsx)