am creating plant disease identification model. have dataset of 38 diseases with around 2000 images for each disease. But while training the model, some epochs are getting skipped due to some OUT OF RANGE error. Can someone please help me to figure t...

Unlocking Sequential Intelligence The Power and Efficiency of Gated Recurrent Units in DeepLearningAbstractConte Gated Recurrent Units GRU has emerged as formidable architecture within the deep learning domain, offering an efficient alternative...

am looking for HTR tool with the best accuracy and preferably not pricy obviously . From my research, it seems that Transkribus was the most mentioned platform with good reviews. As would need to convert images to text regularly would need to pay th...

Check out the list of data science internships for college undergrads Data science has become one of the most sought after fields in the ever changing world of technology. Thats why weve compiled list of the must apply data science internships for co...

Hey everyone, I 39 m encountering an issue with TensorFlow where it 39 s not detecting my Nvidia GeForce GTX 1650 GPU for acceleration, despite having both an Nvidia GPU and an AMD Radeon Graphics card installed in my system. I 39 ve tried various...

Fabric Madness part4Image by author and ChatGPT. Design an illustration, with imagery representing data experiments, focusing on basketball data prompt. ChatGPT, 4, OpenAI, 15April. 2024. Huge thanks to Martim Chaves who co authored this post and dev...

Newbie here to neural networks.. What are next steps that can follow to resolve Getting this error message ... ... ValueError logits and labels must have the same shape, received 20, 64 vs 20, 1 . x200B My code is import tensorflow as...

For those who want to understand what.to cuda doesImage by the author with the assistance of AI when we talk about deep learning, it is very common to associate its implementation with utilizing GPUs in order to improve performance.GPUs Graphical P...

recently started learning ML and AI. But have problem with tensorflow and pytorch, am finding it difficult to install both. There is always an interruption during the process. What can do to make the process seamless I tried the normal process using ...

La eficiencia la automatizacin son clave para mantener la competitividad, eso ya est claro, las hojas de clculo so protagonistas en este tema. Estamos hablando de herramientas esenciales en prcticamente cualquier campo profesional, que han evoluciona...

The B5G/6G evolution relies on connect-compute technologies and highly heterogeneous clusters with HW accelerators, which require specialized coding to be efficiently utilized. The current paper proposes a custom tool for generating multiple SW versions of a certain AI function input in high-level language, e.g., Python TensorFlow, while targeting multiple diverse HW+SW platforms. TF2AIF builds upon disparate tool-flows to create a plethora of relative containers and enable the system orchestrat...

I ve written code for topology optimization and want to add machine learning using data collected from looping from topology optimization as dataframe, as in the picture, J old has one value in each column, but the lamda and sensitivity values are 1 ...

Unlock How to Become an Artificial Intelligence Engineer Who is an AI Engineer Artificial intelligence AI engineers are the workforce that is responsible for developing, programming, and training the complex networks of algorithms that built AI so...

career in data usually starts with entry level Python jobs. Heres guide about these jobs, discussing everything you need to land such ajob.Photo by Sebastian Herrmann onUnsplashPython used to be an avant garde programming language. Only few of us hea...

Check out this blog post on how to use the newest MATLAB functions to convert deep learning models between MATLAB, PyTorch, and TensorFlow in R2024a. submitted by u Creative Sushi link comments...

Imagine you are instructing little youngster in new game. You wouldnt expect someone to become master by simply giving them the rulebook. In the field of artificial intelligence AI , precise guidance is necessary to get the desired outcomes, particu...

This paper introduces an adaptive convolutional neural network (CNN) architecture capable of automating various topology optimization (TO) problems with diverse underlying physics. The proposed architecture has an encoder-decoder-type structure with dense layers added at the bottleneck region to capture complex geometrical features. The network is trained using datasets obtained by the problem-specific open-source TO codes. Tensorflow and Keras are the main libraries employed to develop and to t...