Saumya Guptasaumyagupta.hashnode.net·Apr 21, 2023Tackling Imbalanced Data in Machine Learning: Techniques for Accurate PredictionsIntroduction Imagine you have a bag of different coloured balls - red, blue, and green. Now, imagine that you have 10 red balls, 5 blue balls, and only 1 green ball. This means that you have more red balls than blue balls and much fewer green balls. ...Discuss·10 likes·42 reads#imbalanceddata
Saket Munda5aket.hashnode.net·Jan 9, 2023Fine Tune neural network models using TensorFlowWhat is Fine-Tuning According to wikipedia 😅, "fine-tuning is the process in which parameters of a model must be adjusted very precisely to fit with certain observations." I'm not sure if the above two lines were able to define fine-tuning properly,...Discuss·1 like·30 readsArtificial Intelligencefine-tune
Emzar Panikashviliepanikas.hashnode.net·Apr 19, 2023Fluid NN Builder - a fun way of working with neural networksThe recent advancements in the AI field can hardly leave anyone indifferent, and I’m not an exception. Even though I’ve been working in IT for more than 20 years, mostly in Java and Frontend, I’ve been always fascinated by how far AI could go. We hav...Discuss·1 like·32 readskeras
Saumya GuptaforSaumya Guptasaumyagupta.hashnode.net·Apr 21, 2023Tackling Imbalanced Data in Machine Learning: Techniques for Accurate PredictionsIntroduction Imagine you have a bag of different coloured balls - red, blue, and green. Now, imagine that you have 10 red balls, 5 blue balls, and only 1 green ball. This means that you have more red balls than blue balls and much fewer green balls. ...Discuss·10 likes·42 reads#imbalanceddata
Emzar PanikashviliforTechno-punk...epanikas.hashnode.net·Apr 19, 2023Fluid NN Builder - a fun way of working with neural networksThe recent advancements in the AI field can hardly leave anyone indifferent, and I’m not an exception. Even though I’ve been working in IT for more than 20 years, mostly in Java and Frontend, I’ve been always fascinated by how far AI could go. We hav...Discuss·1 like·32 readskeras
Sarvesh KesharwaniforNLPsarvesh42.hashnode.net·Mar 17, 2023My Contributions in GitHub Open Source Repositories.Merged PR: #11794 : Typo Correction in ivy doc Deep-Dive #11670 : Typo Correction in ivy doc #1243 : Typo Correction in keras-io doc #1243 :Closed frontend function Integer implementation issue #12032 : iscomplexobj() implementation #12058 : isrealob...Discusskeras
Matt NeighbourforbrainEmbeddedbrainembedded.hashnode.net·Mar 3, 202310 Python Libraries Every Data Scientist Should Know AboutPython is a popular programming language used in data science, and one of the reasons for its popularity is the vast array of libraries available. These libraries provide pre-built functions and tools that can help data scientists streamline their wo...DiscussPython 3
Jeremiah Lanierformachinesinthecloudsmachinesintheclouds.hashnode.net·Jan 29, 2023What is Keras?Keras is a high-level neural networks API that provides an easy-to-use interface for building and training deep learning models. It is built on top of other popular deep learning frameworks, such as TensorFlow, Theano, and Microsoft Cognitive Toolkit...Discuss·63 readskeras
Saket MundaforLearn through Blogs5aket.hashnode.net·Jan 19, 2023Quick introduction to Loss Functions in Neural NetworkIntroduction Loss Functions in deep learning (or machine learning) problems play a very important role to determine how well is your model or algorithm doing in terms of predicting the expected outcome. The lesser the value of the loss function, the ...DiscussArtificial Intelligenceneural networks
Saket MundaforLearn through Blogs5aket.hashnode.net·Jan 9, 2023Fine Tune neural network models using TensorFlowWhat is Fine-Tuning According to wikipedia 😅, "fine-tuning is the process in which parameters of a model must be adjusted very precisely to fit with certain observations." I'm not sure if the above two lines were able to define fine-tuning properly,...Discuss·1 like·30 readsArtificial Intelligencefine-tune
Sachin PalforGeekPythongeekpython.hashnode.net·Dec 18, 2022Build A Custom Deep Learning Model Using Transfer LearningIntroduction Transfer learning is used in machine learning and is a method in which already-trained or pre-trained neural networks are present and these pre-trained neural networks are trained using millions of data points. This technique is currentl...Discuss·597 readsData Science
Muhammad IhsanforHimpasikom Learning Communityhimpasikom-1669391645902.hashnode.net·Dec 2, 2022Mengenal Functional API di Keras"It’s fun and powerful, it feels like playing with LEGO bricks."- François Chollet (The Creator of Keras) Ketika mulai mendalami Deep Learning, kita biasanya memulai dengan membuat model sekuensial. Kelebihan dari model sekuensial adalah kemudahan d...Discuss·39 readskeras
Muhammad IhsanforIhsan's Blogemhaihsan.hashnode.net·Dec 2, 2022Mengenal Functional API di Keras"It’s fun and powerful, it feels like playing with LEGO bricks."- François Chollet (The Creator of Keras) Ketika mulai mendalami Deep Learning, kita biasanya memulai dengan membuat model sekuensial. Kelebihan dari model sekuensial adalah kemudahan d...Discuss·26 readskeras
