2 - 5 Lesson 5  Deep Learning 2019   Back propagation; Accelerated SGD; Neural net from scratch
Channel: Aymen_IT
Date: 01/06/2020

120- 2 - 5 Lesson 5  Deep Learning 2019   Back propagation; Accelerated SGD; Neural net from scratch
https://youtu.be/GU8ueC8F4nE

119 - 1 -5 Lesson 5  Deep Learning 2019   Back propagation; Accelerated SGD; Neural net from scratch
https://youtu.be/ojBkpewJFew


118 -  3 - 4  Lesson 4  Deep Learning 2019   NLP; Tabular data; Collaborative filtering; Embeddings
https://youtu.be/XDh6JWesPg4


117- 2 - 4  Lesson 4  Deep Learning 2019   NLP; Tabular data; Collaborative filtering; Embeddings
https://youtu.be/fZzicYpV0bU


116 -1 - 4  Lesson 4  Deep Learning 2019   NLP; Tabular data; Collaborative filtering; Embeddings
https://youtu.be/BuCgZ7UncEw


115- 4 -3-تعلم الالة-Lesson 3 Deep Learning 2019 Data blocks Multi label classification Segmentation
https://youtu.be/hWoCJSqnL_U

114- 3 -3-تعلم الالة-Lesson 3 Deep Learning 2019 Data blocks Multi label classification Segmentation
https://youtu.be/GoGcMqASLas

113- 3 -2-تعلم الالة-Lesson 3 Deep Learning 2019 Data blocks Multi label classification Segmentation
https://youtu.be/B8fSI5OJoyo

112- 3 -1-تعلم الالة-Lesson 3 Deep Learning 2019 Data blocks Multi label classification Segmentation
https://youtu.be/WjjXCI8-4kc

101 - تعلم الالة- Lesson 2 - 2 Deep Learning 2019   Image classification
https://youtu.be/kykqSDsKAqw

100 - تعلم الالة- Lesson 2  -1 Deep Learning 2019   Image classification
https://youtu.be/tES-AOVKSuM

99 - تعلم الالة- Lesson 1 - 2 Deep Learning 2019   Image classification
https://youtu.be/TPzGj5UuSe0

98 - تعلم الالة- Lesson 1 - 1 Deep Learning 2019   Image classification
https://youtu.be/6AkEAXsN8Ng

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In lesson 5 we put all the pieces of training together to understand exactly what is going on when we talk about *back propagation*. We'll use this knowledge to create and train a simple neural network from scratch. We'll also see how we can look inside the weights of an embedding layer, to find out what our model has learned about our categorical variables. This will let us get some insights into which movies we should probably avoid at all costs... Although embeddings are most widely known in the context of word embeddings for NLP, they are at least as important for categorical variables in general, such as for tabular data or collaborative filtering. They can even be used with non-neural models with great success.