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Description
                    Caffe is a deep learning framework designed with a focus on expressiveness, efficiency, and modularity, developed by Berkeley AI Research (BAIR) alongside numerous community contributors. The project was initiated by Yangqing Jia during his doctoral studies at UC Berkeley and is available under the BSD 2-Clause license. For those interested, there is an engaging web image classification demo available for viewing! The framework’s expressive architecture promotes innovation and application development. Users can define models and optimizations through configuration files without the need for hard-coded elements. By simply toggling a flag, users can seamlessly switch between CPU and GPU, allowing for training on powerful GPU machines followed by deployment on standard clusters or mobile devices. The extensible nature of Caffe's codebase supports ongoing development and enhancement. In its inaugural year, Caffe was forked by more than 1,000 developers, who contributed numerous significant changes back to the project. Thanks to these community contributions, the framework remains at the forefront of state-of-the-art code and models. Caffe's speed makes it an ideal choice for both research experiments and industrial applications, with the capability to process upwards of 60 million images daily using a single NVIDIA K40 GPU, demonstrating its robustness and efficacy in handling large-scale tasks. This performance ensures that users can rely on Caffe for both experimentation and deployment in various scenarios.
                
            
        
            Description
                    Chainer is a robust, adaptable, and user-friendly framework designed for building neural networks. It facilitates CUDA computation, allowing developers to utilize a GPU with just a few lines of code. Additionally, it effortlessly scales across multiple GPUs. Chainer accommodates a wide array of network architectures, including feed-forward networks, convolutional networks, recurrent networks, and recursive networks, as well as supporting per-batch designs. The framework permits forward computations to incorporate any Python control flow statements without compromising backpropagation capabilities, resulting in more intuitive and easier-to-debug code. It also features ChainerRLA, a library that encompasses several advanced deep reinforcement learning algorithms. Furthermore, with ChainerCVA, users gain access to a suite of tools specifically tailored for training and executing neural networks in computer vision applications. The ease of use and flexibility of Chainer makes it a valuable asset for both researchers and practitioners in the field. Additionally, its support for various devices enhances its versatility in handling complex computational tasks.
                
            
        
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    Amazon Web Services (AWS)
            
            
        
        
    
        
        
            
                
    AWS Marketplace
            
            
        
        
    
        
        
            
                
    Activeeon ProActive
            
            
        
        
    
        
        
            
                
    Docker
            
            
        
        
    
        
        
            
                
    Fabric for Deep Learning (FfDL)
            
            
        
        
    
        
        
            
                
    Google Cloud Deep Learning VM Image
            
            
        
        
    
        
        
            
                
    IBM Cloud
            
            
        
        
    
        
        
            
                
    Intel Tiber AI Studio
            
            
        
        
    
        
        
            
                
    Lambda
            
            
        
        
    
                
                    
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
                
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                Vendor Details
Company Name
BAIR
Country
United States
Website
caffe.berkeleyvision.org
Vendor Details
Company Name
Chainer
Country
Japan
Website
chainer.org
Product Features
Deep Learning
                                        Convolutional Neural Networks
                                        
                                    
                                    
                                    
                                        Document Classification
                                        
                                    
                                    
                                    
                                        Image Segmentation
                                        
                                    
                                    
                                    
                                        ML Algorithm Library
                                        
                                    
                                    
                                    
                                        Model Training
                                        
                                    
                                    
                                    
                                        Neural Network Modeling
                                        
                                    
                                    
                                    
                                        Self-Learning
                                        
                                    
                                    
                                    
                                        Visualization