{"id":5794,"date":"2025-10-29T11:21:38","date_gmt":"2025-10-29T11:21:38","guid":{"rendered":"https:\/\/omxwebsites.com\/gammatica\/?page_id=5794"},"modified":"2025-11-05T06:51:09","modified_gmt":"2025-11-05T06:51:09","slug":"deep-learning-with-tensorflow-pytorch","status":"publish","type":"page","link":"https:\/\/omxwebsites.com\/gammatica\/deep-learning-with-tensorflow-pytorch\/","title":{"rendered":"Deep Learning with TensorFlow & PyTorch"},"content":{"rendered":"\t\t
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Deep Learning with TensorFlow & PyTorch\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Learning Format<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Total training duration<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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80-90 hrs (2 months)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Syllabus<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Certification<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Deep Learning with TensorFlow & PyTorch\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Deep Learning with TensorFlow & PyTorch<\/strong> focuses on building and training neural networks using two of the most popular deep learning frameworks. Learners explore key concepts such as neural architectures, backpropagation, convolutional and recurrent networks, and model optimization. Through hands-on projects, this course teaches how to implement and deploy deep learning models for applications like image recognition, natural language processing, and predictive analytics, using both TensorFlow and PyTorch for practical experience.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Syllabus Summary<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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  • Introduction to Neural Networks<\/li>
  • Perceptrons, forward & backward propagation<\/li>
  • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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    • ANN (Artificial Neural Networks)<\/li>
    • Hands-on with TensorFlow & PyTorch<\/li>
    • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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      • CNN (Convolutional Neural Networks)<\/li>
      • \u00a0Image classification basics<\/li>
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        • Advanced CNNs (ResNet, Inception)<\/li>
        • \u00a0Transfer learning<\/li>
        • \u00a0Assignment at end of week<\/li>
        • \u00a0Mock Interview 1<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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          • RNN (Recurrent Neural Networks)<\/li>
          • LSTMs and GRUs<\/li>
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            • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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              • Optimization & regularization in DL<\/li>
              • \u00a0Dropout, batch normalization<\/li>
              • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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                • Project: Deep Learning case study<\/li>
                • \u00a0Final presentation<\/li>
                • \u00a0Mock Interview 2<\/li>
                • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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                  \n\t\t\t\t\t\tTech & Non-Tech Working professional, Freshers, Graduate from any domain.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tGet your queries solved with daily dedicated doubts solving sessions.\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tExperts and trainer for top-tech companies.\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tGet practical experience with real-world projects for a career in analytics.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

                  Deep Learning with TensorFlow & PyTorch Learning Format Online mode Total training duration 80-90 hrs (2 months) Syllabus 8 weeks Certification Yes Deep Learning with TensorFlow & PyTorch Deep Learning with TensorFlow & PyTorch focuses on building and training neural networks using two of the most popular deep learning frameworks. Learners explore key concepts such as neural architectures, backpropagation, convolutional and recurrent networks, and model optimization. Through hands-on projects, this course teaches how to implement and deploy deep learning models for applications like image recognition, natural language processing, and predictive analytics, using both TensorFlow and PyTorch for practical experience. Enroll Now Syllabus Summary Week 1 Introduction to Neural Networks Perceptrons, forward & backward propagation \u00a0Assignment at end of week Week 2 ANN (Artificial Neural Networks) Hands-on with TensorFlow & PyTorch \u00a0Assignment at end of week Week 3 CNN (Convolutional Neural Networks) \u00a0Image classification basics Assignment at end of week Week 4 Advanced CNNs (ResNet, Inception) \u00a0Transfer learning \u00a0Assignment at end of week \u00a0Mock Interview 1 Week 5 RNN (Recurrent Neural Networks) LSTMs and GRUs \u00a0Assignment at end of week Week 6 Natural Language Deep Learning basics \u00a0Assignment at end of week Week 7 Optimization & regularization in DL \u00a0Dropout, batch normalization \u00a0Assignment at end of week Week 8 Project: Deep Learning case study \u00a0Final presentation \u00a0Mock Interview 2 \u00a0Assignment at end of week Introduction to Neural Networks Perceptrons, forward & backward propagation \u00a0Assignment at end of week ANN (Artificial Neural Networks) Hands-on with TensorFlow & PyTorch \u00a0Assignment at end of week CNN (Convolutional Neural Networks) \u00a0Image classification basics Assignment at end of week Advanced CNNs (ResNet, Inception) \u00a0Transfer learning \u00a0Assignment at end of week \u00a0Mock Interview 1 RNN (Recurrent Neural Networks) LSTMs and GRUs \u00a0Assignment at end of week Natural Language Deep Learning basics \u00a0Assignment at end of week Optimization & regularization in DL \u00a0Dropout, batch normalization \u00a0Assignment at end of week Project: Deep Learning case study \u00a0Final presentation \u00a0Mock Interview 2 \u00a0Assignment at end of week Course Summary Eligibility Tech & Non-Tech Working professional, Freshers, Graduate from any domain. Live Doubt Solving Get your queries solved with daily dedicated doubts solving sessions. Instructor Experts and trainer for top-tech companies. Certification 10+ ISO Globally recognized certified Mode of Learning 100% Live Learning with experienced instructors and hands-on sessions. Real time projects Get practical experience with real-world projects for a career in analytics. Certification<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-5794","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5794","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/comments?post=5794"}],"version-history":[{"count":19,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5794\/revisions"}],"predecessor-version":[{"id":7724,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5794\/revisions\/7724"}],"wp:attachment":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/media?parent=5794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}