Forward_Forward_Algorithm

The Forward-Forward Algorithm Welcome to a new and quick blog on the Forward-Forward learning procedure for neural networks! Hinton introduced in this paper a new approach for training neural networks…

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PhdThesisLinks

Ph.D. Thesis Links List https://kelvins.esa.int/proba-v-super-resolution/https://github.com/EscVM/RAMShttps://kelvins.esa.int/proba-v-super-resolution-post-mortem/leaderboard/https://github.com/EscVM/Efficient-CapsNethttps://pic4ser.polito.ithttps://smartdata.polito.ithttps://github.com/fsalv/DeepWayhttps://cerebras.net/https://numenta.com/https://www.blender.org/https://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdfhttps://github.com/MaximeHerpin/modular_tree/tree/blender_28https://www.tensorflow.orghttp://gazebosim.org/https://www.spingnss.it/spiderweb/frmIndex.aspxhttps://github.com/PIC4SeR/AcThttps://www.tensorflow.org/lite/performance/measurementhttps://github.com/PIC4SeR/BacktoBoneshttps://pytorch.org/vision/stable/modelshttps://github.com/lukemelas/EfficientNet-PyTorchhttps://github.com/rwightman/pytorch-image-modelshttps://github.com/facebookresearch/DomainBedhttps://pytorch.org/https://www.kaggle.com/c/dogs-vs-cats Previous Next

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Batch Trick

Batch Size Over 9000!!! Sei stufo di sentirti sopraffatto da quei 2048 samples di batch size dei paper di Facebook? Ti sei stancato di dover sempre scendere a compromessi tra…

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CUDA on Ubuntu

CUDA/cuDNN/TF2.x on Ubuntu Questa guida ha l’obbiettivo di aiutare nell’installazione di una nuova versione dei CUDA/cuDNN sul proprio sistema, volto fondamentalmente all’utilizzo con TensorFlow. L’obiettivo principale è quello di essere…

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smartalk_capsule_networks

Capsule Based Networks, Presenter: Vittorio MazziaMonday, February 1st, 2020 17:30Location: Microsoft Teams – click here to joinCapsule Based Networks, Next Evolution of Convolutional Neural Networks?Deep convolutional neural networks (CNNs), assisted by…

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TFLite & TFRT Conversion Summary

TF-Lite & TF-TRT Conversions Summary TensorFlow LiteTF-Lite simple conversionFloat16 quantization Dynamic range quantizationFull integer quantization (with float fallback)Full integer quantization (integer only)TensorRTFP32/FP16 quantizationFP32/FP16 quantization with pre-built enginesFull integer quantization with pre-built…

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Setting DL Environment

Up and Run with a DL Environment Configurare una macchina remota (tipo AWS, una nostra workstation remota o quello che è) per diventare il nostro personale laboratorio per addestrare piccole…

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Interview Andrew Ng

Andrew Ng In questo podcast viene intervistato uno tra i professori più famosi di machine learning di sempre: Andrew Ng. Andrew é professore alla Stanford University, ha lavorato per Google…

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TensorFlow 2.0 Installation

TensorFlow 2.0 with GPU support on Installare TensorFlow 2.0 senza il supporto per la GPU è veramente un gioco da ragazzi e nella maggior parte dei casi risulta semplice come…

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Scale AI: Jeremy Howard

Interview with In questo podcast, riassumo per la prima volta un'intervista di Jeremy Howard, CEO e fondatore di Enlitic, la prima start-up che ha sfruttato il deep learning per classificare…

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