#crossentropy search results

Explored how AI learns to classify today! Dived into: - Binary Cross-Entropy - Categorical Cross-Entropy - Sparse Categorical Cross-Entropy Each helps neural nets measure their mistakes in classification tasks — turning errors into intelligence! #AI #DeepLearning #CrossEntropy


Yes, this is a concept I still need to dig deeper into, but in the meantime, we can use the magic of code to simply do it for us, so here is a simple function to calculate #CrossEntropy.

JackRaifer's tweet image. Yes, this is a concept I still need to dig deeper into, but in the meantime, we can use the magic of code to simply do it for us, so here is a simple function to calculate #CrossEntropy.

3️⃣ Log Loss: Explored the log loss function, also known as cross-entropy loss, used as a measure of the difference between predicted probabilities and actual outcomes in logistic regression. It plays a vital role in model optimization. #LogLoss #CrossEntropy

layzlad's tweet image. 3️⃣ Log Loss: Explored the log loss function, also known as cross-entropy loss, used as a measure of the difference between predicted probabilities and actual outcomes in logistic regression. It plays a vital role in model optimization. #LogLoss #CrossEntropy

Dimension in Tensorflow / keras and sparse_categorical_crossentropy stackoverflow.com/questions/6047… #keras #nlp #crossentropy #tensorflow

overflow_meme's tweet image. Dimension in Tensorflow / keras and sparse_categorical_crossentropy stackoverflow.com/questions/6047… #keras #nlp #crossentropy #tensorflow

Training & validation accuracy increasing & training loss is decreasing - Validation Loss is NaN stackoverflow.com/questions/6452… #crossentropy #lossfunction #deeplearning #tensorflow #convneuralnetwork

overflow_meme's tweet image. Training & validation accuracy increasing & training loss is decreasing - Validation Loss is NaN stackoverflow.com/questions/6452… #crossentropy #lossfunction #deeplearning #tensorflow #convneuralnetwork

3/n Because of change in #activation, we cannot use same #crossentropy loss. We must use #binarycrossentropy. Otherwise, the losses from absent classes aren't able to contribute anything to the training of the model.

ElisonSherton's tweet image. 3/n
Because of change in #activation, we cannot use same #crossentropy loss. We must use #binarycrossentropy. Otherwise, the losses from absent classes aren't able to contribute anything to the training of the model.

I understood it only half , other half gave my brain an entropy. #crossentropy #probability

rohanthakur444's tweet image. I understood it only half , other half gave my brain an entropy.
#crossentropy #probability

What is behind using BCE loss for Variational Autoencoder for images? stackoverflow.com/questions/6447… #autoencoder #bayesian #crossentropy

overflow_meme's tweet image. What is behind using BCE loss for Variational Autoencoder for images? stackoverflow.com/questions/6447… #autoencoder #bayesian #crossentropy

Entropia é a medida da incerteza de uma variável aleatória ou de um evento. Blz? Agora cross ➰isso! 🤣😅 #CrossEntropy #DeepLearning #MachineLearning #kaggle #kagglebrasil

franckepeixoto's tweet image. Entropia é a medida da incerteza de uma variável aleatória ou de um evento. Blz? Agora cross ➰isso! 🤣😅
#CrossEntropy  #DeepLearning  #MachineLearning  #kaggle #kagglebrasil

#66DaysOfData with @KenJee_DS Round 3 Day 5. Today I jumped into the rabbit hole of #CrossEntropy.I always found this concept a bit dense, just like it’s spelling (for some reason I always write enthropy).


Our #crossentropy test for #tSNE/#UMAP can distinguish qualitative and quantitative changes in populations, and isn't fooled by tech/biol replicates or by fresh seeds of the tSNE run. 2/4

LabListon's tweet image. Our #crossentropy test for #tSNE/#UMAP can distinguish qualitative and quantitative changes in populations, and isn't fooled by tech/biol replicates or by fresh seeds of the tSNE run. 2/4

Relu-Aktivierungsfunktion und deren Jacobi-Matrix als Bestandteil eines Neuronalen Netzes zur Klassifikation #fromscratch #crossentropy #backpropagation #KünstlicheIntelligenz #wasMathematikerSoMachen

RainerLOKeck's tweet image. Relu-Aktivierungsfunktion und deren Jacobi-Matrix als Bestandteil eines Neuronalen Netzes zur Klassifikation
#fromscratch
#crossentropy
#backpropagation
#KünstlicheIntelligenz
#wasMathematikerSoMachen

Cross-entropy is a measure of the difference between two probability distributions for a given random variable or set of events. to know more: machinelearningmastery.com/cross-entropy-… #crossentropy #machinelearning

vfcarida's tweet image. Cross-entropy is a measure of the difference between two probability distributions for a given random variable or set of events.

to know more: machinelearningmastery.com/cross-entropy-…

#crossentropy #machinelearning

#DeepLearning #CrossEntropy #CostFunction Tensor FlowのCost関数は添付の画像のSignal Flowと同一なのであろか? 文献ではこの図から #BaclPropagation の振る舞いが読み取れると書いてあるが、いまいち、理解できない。

Bons_SOL's tweet image. #DeepLearning 
#CrossEntropy
#CostFunction

Tensor FlowのCost関数は添付の画像のSignal Flowと同一なのであろか?

文献ではこの図から #BaclPropagation の振る舞いが読み取れると書いてあるが、いまいち、理解できない。

The surprising power of #CrossEntropy as a loss function is not yet fully appreciated. Despite cross-entropy often works quietly behind the scenes in (self-)supervised, yet it is fundamental to the success of today Deep Learning, bridging optimisation and Information Theory. At…


I happen to check a simple calculation by @claudeai and it was off by a lot 🤷🏻‍♂️ #Crossentropy #logfunction #LLMmath

marcodemiroz's tweet image. I happen to check a simple calculation by @claudeai and it was off by a lot 🤷🏻‍♂️ #Crossentropy #logfunction #LLMmath

New #SpecialIssue "#Entropy and #CrossEntropy for #DecisionMaking Problems", edited by Dr. Meimei Xia, with deadline 31 July 2021. We look forward to your submissions! mdpi.com/journal/entrop… #decisionanalysis #datamining #businessintelligence #machinelearning #deeplearning

Entropy_MDPI's tweet image. New #SpecialIssue "#Entropy and #CrossEntropy for #DecisionMaking Problems", edited by Dr. Meimei Xia, with deadline 31 July 2021. We look forward to your submissions!
mdpi.com/journal/entrop…

#decisionanalysis
#datamining
#businessintelligence
#machinelearning
#deeplearning

Explored how AI learns to classify today! Dived into: - Binary Cross-Entropy - Categorical Cross-Entropy - Sparse Categorical Cross-Entropy Each helps neural nets measure their mistakes in classification tasks — turning errors into intelligence! #AI #DeepLearning #CrossEntropy


I happen to check a simple calculation by @claudeai and it was off by a lot 🤷🏻‍♂️ #Crossentropy #logfunction #LLMmath

marcodemiroz's tweet image. I happen to check a simple calculation by @claudeai and it was off by a lot 🤷🏻‍♂️ #Crossentropy #logfunction #LLMmath

📢Read #FeaturePaper "On Defining Expressions for Entropy and Cross-Entropy: The Entropic Transreals and Their Fracterm Calculus", by Jan A. Bergstra and John V. Tucker 👉See more details at: mdpi.com/1099-4300/27/1… #CrossEntropy #Calculus


For two distributions (P,Q), where Q is used to approx. P, it follows naturally that KL is just the difference of H(P,Q) - H(P) ... the excess inefficiency (or information cost) in Q when used to model P. #InformationTheory #ShannonEntropy #CrossEntropy

90% of ML yappers don’t know that KL divergence was a definition not a derivation



The surprising power of #CrossEntropy as a loss function is not yet fully appreciated. Despite cross-entropy often works quietly behind the scenes in (self-)supervised, yet it is fundamental to the success of today Deep Learning, bridging optimisation and Information Theory. At…


✨Just appeared! Ryo Nakamura,Tomooki Yuasa, Takafumi Amaba, Jun Fujiki: "Simple variational inference based on minimizing Kullback–Leibler divergence" #Crossentropy #中村凌 #湯浅智意 #天羽隆史 #藤木淳 Free view 🔗 rdcu.be/dXEwy link.springer.com/article/10.100…


I understood it only half , other half gave my brain an entropy. #crossentropy #probability

rohanthakur444's tweet image. I understood it only half , other half gave my brain an entropy.
#crossentropy #probability

7: As our model makes predictions, we use something called "cross-entropy" to measure its performance. It's like a report card that shows how well our model is doing. #CrossEntropy


Read #NewPaper: "Cross Entropy in Deep Learning of Classifiers Is Unnecessary—ISBE Error Is All You Need" by Władysław Skarbek. See more details at: mdpi.com/1099-4300/26/1… #deeplearning #crossentropy #normalization #function #neuralnetwork #modelinference

Entropy_MDPI's tweet image. Read #NewPaper: "Cross Entropy in Deep Learning of Classifiers Is Unnecessary—ISBE Error Is All You Need" by Władysław Skarbek.

See more details at: mdpi.com/1099-4300/26/1…

#deeplearning
#crossentropy
#normalization #function
#neuralnetwork
#modelinference

3️⃣ Log Loss: Explored the log loss function, also known as cross-entropy loss, used as a measure of the difference between predicted probabilities and actual outcomes in logistic regression. It plays a vital role in model optimization. #LogLoss #CrossEntropy

layzlad's tweet image. 3️⃣ Log Loss: Explored the log loss function, also known as cross-entropy loss, used as a measure of the difference between predicted probabilities and actual outcomes in logistic regression. It plays a vital role in model optimization. #LogLoss #CrossEntropy

Entropia é a medida da incerteza de uma variável aleatória ou de um evento. Blz? Agora cross ➰isso! 🤣😅 #CrossEntropy #DeepLearning #MachineLearning #kaggle #kagglebrasil

franckepeixoto's tweet image. Entropia é a medida da incerteza de uma variável aleatória ou de um evento. Blz? Agora cross ➰isso! 🤣😅
#CrossEntropy  #DeepLearning  #MachineLearning  #kaggle #kagglebrasil

3️⃣ Log Loss: Explored the log loss function, also known as cross-entropy loss, used as a measure of the difference between predicted probabilities and actual outcomes in logistic regression. It plays a vital role in model optimization. #LogLoss #CrossEntropy

layzlad's tweet image. 3️⃣ Log Loss: Explored the log loss function, also known as cross-entropy loss, used as a measure of the difference between predicted probabilities and actual outcomes in logistic regression. It plays a vital role in model optimization. #LogLoss #CrossEntropy

Dimension in Tensorflow / keras and sparse_categorical_crossentropy stackoverflow.com/questions/6047… #keras #nlp #crossentropy #tensorflow

overflow_meme's tweet image. Dimension in Tensorflow / keras and sparse_categorical_crossentropy stackoverflow.com/questions/6047… #keras #nlp #crossentropy #tensorflow

Training & validation accuracy increasing & training loss is decreasing - Validation Loss is NaN stackoverflow.com/questions/6452… #crossentropy #lossfunction #deeplearning #tensorflow #convneuralnetwork

overflow_meme's tweet image. Training & validation accuracy increasing & training loss is decreasing - Validation Loss is NaN stackoverflow.com/questions/6452… #crossentropy #lossfunction #deeplearning #tensorflow #convneuralnetwork

I understood it only half , other half gave my brain an entropy. #crossentropy #probability

rohanthakur444's tweet image. I understood it only half , other half gave my brain an entropy.
#crossentropy #probability

What is behind using BCE loss for Variational Autoencoder for images? stackoverflow.com/questions/6447… #autoencoder #bayesian #crossentropy

overflow_meme's tweet image. What is behind using BCE loss for Variational Autoencoder for images? stackoverflow.com/questions/6447… #autoencoder #bayesian #crossentropy

3/n Because of change in #activation, we cannot use same #crossentropy loss. We must use #binarycrossentropy. Otherwise, the losses from absent classes aren't able to contribute anything to the training of the model.

ElisonSherton's tweet image. 3/n
Because of change in #activation, we cannot use same #crossentropy loss. We must use #binarycrossentropy. Otherwise, the losses from absent classes aren't able to contribute anything to the training of the model.

#DeepLearning #CrossEntropy #CostFunction Tensor FlowのCost関数は添付の画像のSignal Flowと同一なのであろか? 文献ではこの図から #BaclPropagation の振る舞いが読み取れると書いてあるが、いまいち、理解できない。

Bons_SOL's tweet image. #DeepLearning 
#CrossEntropy
#CostFunction

Tensor FlowのCost関数は添付の画像のSignal Flowと同一なのであろか?

文献ではこの図から #BaclPropagation の振る舞いが読み取れると書いてあるが、いまいち、理解できない。

Yes, this is a concept I still need to dig deeper into, but in the meantime, we can use the magic of code to simply do it for us, so here is a simple function to calculate #CrossEntropy.

JackRaifer's tweet image. Yes, this is a concept I still need to dig deeper into, but in the meantime, we can use the magic of code to simply do it for us, so here is a simple function to calculate #CrossEntropy.

Relu-Aktivierungsfunktion und deren Jacobi-Matrix als Bestandteil eines Neuronalen Netzes zur Klassifikation #fromscratch #crossentropy #backpropagation #KünstlicheIntelligenz #wasMathematikerSoMachen

RainerLOKeck's tweet image. Relu-Aktivierungsfunktion und deren Jacobi-Matrix als Bestandteil eines Neuronalen Netzes zur Klassifikation
#fromscratch
#crossentropy
#backpropagation
#KünstlicheIntelligenz
#wasMathematikerSoMachen

New #SpecialIssue "#Entropy and #CrossEntropy for #DecisionMaking Problems", edited by Dr. Meimei Xia, with deadline 31 July 2021. We look forward to your submissions! mdpi.com/journal/entrop… #decisionanalysis #datamining #businessintelligence #machinelearning #deeplearning

Entropy_MDPI's tweet image. New #SpecialIssue "#Entropy and #CrossEntropy for #DecisionMaking Problems", edited by Dr. Meimei Xia, with deadline 31 July 2021. We look forward to your submissions!
mdpi.com/journal/entrop…

#decisionanalysis
#datamining
#businessintelligence
#machinelearning
#deeplearning

I happen to check a simple calculation by @claudeai and it was off by a lot 🤷🏻‍♂️ #Crossentropy #logfunction #LLMmath

marcodemiroz's tweet image. I happen to check a simple calculation by @claudeai and it was off by a lot 🤷🏻‍♂️ #Crossentropy #logfunction #LLMmath

#mdpientropy "The Role of Information in Managing Interactions from a Multifractal Perspective" mdpi.com/1099-4300/23/2… #crossentropy #informationalentropy #hydrodynamicmodel

Entropy_MDPI's tweet image. #mdpientropy "The Role of Information in Managing Interactions from a Multifractal Perspective" mdpi.com/1099-4300/23/2…

#crossentropy
#informationalentropy
#hydrodynamicmodel

#mdpientropy "Cross-Entropy Learning for Aortic Pathology Classification of Artificial Multi-Sensor Impedance Cardiography Signals" mdpi.com/1099-4300/23/1… #crossentropy #machinelearning #datafusion #timeseriesclassification

Entropy_MDPI's tweet image. #mdpientropy "Cross-Entropy Learning for Aortic Pathology Classification of Artificial Multi-Sensor Impedance Cardiography Signals" mdpi.com/1099-4300/23/1…

#crossentropy
#machinelearning
#datafusion
#timeseriesclassification

#66DaysOfData with @KenJee_DS Round 3 Day 5. Today I jumped into the rabbit hole of #CrossEntropy.I always found this concept a bit dense, just like it’s spelling (for some reason I always write enthropy).


Cross-entropy is a measure of the difference between two probability distributions for a given random variable or set of events. to know more: machinelearningmastery.com/cross-entropy-… #crossentropy #machinelearning

vfcarida's tweet image. Cross-entropy is a measure of the difference between two probability distributions for a given random variable or set of events.

to know more: machinelearningmastery.com/cross-entropy-…

#crossentropy #machinelearning

#mdpientropy #topcitedpaper: "Automatic Recognition of Human Interaction via Hybrid Descriptors and Maximum Entropy Markov Model Using Depth Sensors " mdpi.com/1099-4300/22/8… #crossentropy #depthsensors #Gaussianmixturemodel

Entropy_MDPI's tweet image. #mdpientropy #topcitedpaper: "Automatic Recognition of Human Interaction via Hybrid Descriptors and Maximum Entropy Markov Model Using Depth Sensors " mdpi.com/1099-4300/22/8…

#crossentropy #depthsensors #Gaussianmixturemodel

Our #crossentropy test for #tSNE/#UMAP can distinguish qualitative and quantitative changes in populations, and isn't fooled by tech/biol replicates or by fresh seeds of the tSNE run. 2/4

LabListon's tweet image. Our #crossentropy test for #tSNE/#UMAP can distinguish qualitative and quantitative changes in populations, and isn't fooled by tech/biol replicates or by fresh seeds of the tSNE run. 2/4

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