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Raspberry Pi 3B Official Case
₹220.00Brand : Raspberry
Overview
Official Case from the Raspberry Pi Foundation.
Can be used for Raspberry Pi 3B and 3B+
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Raspberry Pi Fan 3007/3010
₹156.00Brand : Raspberry
Overview
Dimension: 30 x 30 x 10 mmPower supply: DC 5V
Current: 0.1-0.2AIt’s suitable for Raspberry Pi 3 Model B / 2B / B+ -
Raspberry Pi Heat Sink
₹117.00Brand : Raspberry
Overview
Passive Aluminium Heat Sink for Processor and Ram chip of all Raspberry Pi.
Why Buy?
Reduces the risk of hardware failure due to overheating
> Low profile, will fit into most cases.
> Simple, Passive cooling. No need for noisy fans.
> Perfectly sized for the RPi’s CPUDetails:
Size 13mm x 13mm x 6mm (H x W x D)
> Thermal resistance of 27°C/W
> Self adhesive thermal layer for easy application -
Block Storage 8GB
₹60.13Scale your storage quickly and easily with highly available SSD-backed storage for your Linux or Windows virtual server. Block storage starts at 8 GB and costs 0.10 USD per allocated GB, per month.
8 GB Storage
GST @ 18% extra
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Instance & disk snapshots (manual and automatic)
₹3.76Point-in-time snapshots help back up the data on your Amazon Lightsail instances, managed databases, and block storage.
GST @ 18% extra
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Silverstone Hydrogon D120 ARGB CPU Air Cooler
Brand: Silverstone
Model: Hydrogon D120 ARGB
Taipei, Taiwan, January 28th, 2021 – SilverStone Technology, an established leader in the PC component field, is excited to announce the availability of the new Hydrogon D120 ARGB CPU air cooler, providing new and improved cooling solution for PC and small form factor enthusiasts.
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Deep Learning Network Optimization
4 hrs
PREREQUISITES: Neural Networks and python.
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TOOLS AND FRAMEWORKS: Tensorflow, Keras, PyTorch
LANGUAGES: English
DURATION: 4 hours -
Deep Learning
4 hrs
PREREQUISITES:Neural Networks and python
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TOOLS AND FRAMEWORKS:Tensorflow, Keras, PyTorch
LANGUAGES:English
DURATION:4 hours -
Clustering
2 hrs
Learn the theoretical foundations of clustering along with fundamental and advanced clustering methods such as distance based, iterative, hierarchical, continuous and categorical, density based methods. Dive into a deeper analysis with measures to analyze quality of clustering and its applications.
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PREREQUISITES: Basic machine learning and python.
TOOLS AND FRAMEWORKS: Python, sci-kit learn, Tensor flow.
LANGUAGES: English
DURATION: 2 hours -
Applications of AI for Anomaly Detection
2 hrs
Learn to detect anomalies in large data sets to identify network intrusions using supervised and unsupervised machine learning techniques, such as accelerated XGBoost, autoencoders, and generative adversarial networks (GANs).
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PREREQUISITES: Experience with CNNs and Python
TOOLS AND FRAMEWORKS: Keras, GANs
LANGUAGES: English
DURATION: 2 hours -
Deep Learning for Intelligent Video Analytics
2 hrs
Learn to develop deep neural networks for object detection, localization and tracking.
PREREQUISITES: Experience with deep networks (specifically variations of CNNs) and intermediate level experience with C++ and Python.
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TOOLS AND FRAMEWORKS: TensorFlow
LANGUAGES: English
DURATION: 2 hours -
Coarse-to-Fine Contextual Memory for Medical Imaging
2 hrs
Learn how to improve traditional architectures using coarse-to-fine context memory. Apply it to medical image segmentation and classification tasks.
PREREQUISITES: Experience with CNNs and long short-term memory (LSTM)
TOOLS AND FRAMEWORKS:TensorFlow
LANGUAGES:English
DURATION:2 hours