Discover and read the best of Twitter Threads about #RNN
Most recents (4)
1/
Thread of the very best #YouTube channels and #Twitter accounts to follow for:
#AI/ #ML, #DeepLearning, #neural and all things #datascience
bit.ly/3g8pVDL
#AI #machinelearning @wiserin10 #datascience #bigdata #artificialintelligence
Thread of the very best #YouTube channels and #Twitter accounts to follow for:
#AI/ #ML, #DeepLearning, #neural and all things #datascience
bit.ly/3g8pVDL
#AI #machinelearning @wiserin10 #datascience #bigdata #artificialintelligence
2/
@Analyticsindiam
Analytics India Magazine includes discussions on news, tips for the data ecosystem and a deep dive into #AI/#ML, #deeplearning and #neural networks
#YouTube subscriber count: 38k
@Analyticsindiam
Analytics India Magazine includes discussions on news, tips for the data ecosystem and a deep dive into #AI/#ML, #deeplearning and #neural networks
#YouTube subscriber count: 38k
3/
@Krishnaik06
Krish Naik is co-founder of iNeuron.ai and specialises in #machinelearning, #deeplearning, and computer vision. Krish’s #YouTube channel is a deep dive into all things #AI/#ML, perfect for beginners
YouTube subscriber count: 421k
@Krishnaik06
Krish Naik is co-founder of iNeuron.ai and specialises in #machinelearning, #deeplearning, and computer vision. Krish’s #YouTube channel is a deep dive into all things #AI/#ML, perfect for beginners
YouTube subscriber count: 421k
1. Hello
les réseaux #RNN de type #LSTM et #GRU sont des réseaux qui sont généralement mal compris
Je vais essayer dans ce thread de les expliquer clairement
on va commencer par voir dans le détail les GRU (Gated Recurrent Unit).
Ready?
🔽🔽
#datascience #machinelearning
les réseaux #RNN de type #LSTM et #GRU sont des réseaux qui sont généralement mal compris
Je vais essayer dans ce thread de les expliquer clairement
on va commencer par voir dans le détail les GRU (Gated Recurrent Unit).
Ready?
🔽🔽
#datascience #machinelearning
2. Le principe d'un réseau récurrent RNN est relativement simple
Il s'applique à des données de type séquence c'est à dire des données qui se suivent dans le temps et dont l'ordre est important (Time Series, Speech, texte, musique, ....)
Il s'applique à des données de type séquence c'est à dire des données qui se suivent dans le temps et dont l'ordre est important (Time Series, Speech, texte, musique, ....)
3. Dans leur forme simple, les RNN sont des réseaux de neurones classiques
avec comme différence le fait que la sortie du réseau au temps t soit mis en entrée au temps t+1
Cela permet de conserver une mémoire de ce qui a été calculé au préalable par le réseau
avec comme différence le fait que la sortie du réseau au temps t soit mis en entrée au temps t+1
Cela permet de conserver une mémoire de ce qui a été calculé au préalable par le réseau
D1 of #50daysofudacity
I finished up to Lesson 2.19
My notes can be found here for quick refernce
docs.google.com/document/u/1/d…
I finished up to Lesson 2.19
My notes can be found here for quick refernce
docs.google.com/document/u/1/d…
D2 of #50daysofUdacity
I finished up to Lesson 2.25
Also completed lab assignment for a linear regression model to predict the price of taxi in new york city
My notes can be found here for quick reference
docs.google.com/document/u/1/d…
I finished up to Lesson 2.25
Also completed lab assignment for a linear regression model to predict the price of taxi in new york city
My notes can be found here for quick reference
docs.google.com/document/u/1/d…
D3 of #50daysofudacity
I finished Lesson 2
Also completed lab assignment for linear regression model to predict the price of taxi in new york city
My notes can be found here for quick reference
docs.google.com/document/u/1/d…
I finished Lesson 2
Also completed lab assignment for linear regression model to predict the price of taxi in new york city
My notes can be found here for quick reference
docs.google.com/document/u/1/d…
A "worrying analysis":
"18 [#deeplearning] algorithms ... presented at top-level research conferences ... Only 7 of them could be reproduced w/ reasonable effort ... 6 of them can often be outperformed w/ comparably simple heuristic methods."
Paper:
lnkd.in/dTaGCTv
#AI
"18 [#deeplearning] algorithms ... presented at top-level research conferences ... Only 7 of them could be reproduced w/ reasonable effort ... 6 of them can often be outperformed w/ comparably simple heuristic methods."
Paper:
lnkd.in/dTaGCTv
#AI
[Updates worth tweeting]
2/
There is much concern about #reproducibility issues and flawed scientific practices in the #ML community in particular & #academia in general.
Both the issues and the concerns are not new.
Isn't it time to put an end to them?
2/
There is much concern about #reproducibility issues and flawed scientific practices in the #ML community in particular & #academia in general.
Both the issues and the concerns are not new.
Isn't it time to put an end to them?
3/
There are several works that have exposed these and similar problems along the years.
👏👏 again to @Maurizio_fd et al. for sharing their paper and addressing #DL algorithms for recommended systems (1st tweet from this thread).
But there is more, unfortunately:
There are several works that have exposed these and similar problems along the years.
👏👏 again to @Maurizio_fd et al. for sharing their paper and addressing #DL algorithms for recommended systems (1st tweet from this thread).
But there is more, unfortunately:
