138 - The need for scaling, dropout, and batch normalization in deep learning
Scaling / Normalizing
Batchnormalization
Dropout
Using Keras
Code generated in the video can be downloaded from here: https://github.com/bnsreenu/python_for_microscopists
Видео 138 - The need for scaling, dropout, and batch normalization in deep learning канала DigitalSreeni
Batchnormalization
Dropout
Using Keras
Code generated in the video can be downloaded from here: https://github.com/bnsreenu/python_for_microscopists
Видео 138 - The need for scaling, dropout, and batch normalization in deep learning канала DigitalSreeni
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![Why Does Batch Norm Work? (C2W3L06)](https://i.ytimg.com/vi/nUUqwaxLnWs/default.jpg)
![](https://i.ytimg.com/vi/sT1IF7PGoE4/default.jpg)
![129 - What are Callbacks, Checkpoints and Early Stopping in deep learning (Keras and TensorFlow)](https://i.ytimg.com/vi/wkwtIeq9Ljo/default.jpg)
![139 - The topology of deep neural networks, designing your model.](https://i.ytimg.com/vi/m9Do37a8U-o/default.jpg)
![Tutorial 9- Drop Out Layers in Multi Neural Network](https://i.ytimg.com/vi/XmLYl17DbbA/default.jpg)
![Batch Normalization (“batch norm”) explained](https://i.ytimg.com/vi/dXB-KQYkzNU/default.jpg)
![154 - Understanding the training and validation loss curves](https://i.ytimg.com/vi/p3CcfIjycBA/default.jpg)
![Normalization Vs. Standardization (Feature Scaling in Machine Learning)](https://i.ytimg.com/vi/bqhQ2LWBheQ/default.jpg)
![Batch Normalization - EXPLAINED!](https://i.ytimg.com/vi/DtEq44FTPM4/default.jpg)
![136 understanding deep learning parameters batch size](https://i.ytimg.com/vi/Y-zswp6Yxf0/default.jpg)
![](https://i.ytimg.com/vi/tUwi-cmNaRQ/default.jpg)
![[AI] How to normalize and un-normalize a tabular data for neural networks?](https://i.ytimg.com/vi/Tu8Dl3zorgg/default.jpg)
![155 - How many hidden layers and neurons do you need in your artificial neural network?](https://i.ytimg.com/vi/bqBRET7tbiQ/default.jpg)
![Batch normalization | What it is and how to implement it](https://i.ytimg.com/vi/yXOMHOpbon8/default.jpg)
![Dropout Regularization | Deep Learning Tutorial 20 (Tensorflow2.0, Keras & Python)](https://i.ytimg.com/vi/lcI8ukTUEbo/default.jpg)
![244 - What are embedding layers in keras?](https://i.ytimg.com/vi/nam2zR7p7Os/default.jpg)
![Batch Normalization | How does it work, how to implement it (with code)](https://i.ytimg.com/vi/of4-jeKtyB4/default.jpg)
![Personalizing Explainable Recommendations with Multi-objective Contextual Bandits](https://i.ytimg.com/vi/KoMKgNeUX4k/default.jpg)
![134 - What are Optimizers in deep learning? (Keras & TensorFlow)](https://i.ytimg.com/vi/JhQqquVeCE0/default.jpg)
![Deep Learning Concepts - (Pt.4) Dropout](https://i.ytimg.com/vi/LKSg2vVeI1Q/default.jpg)