{"id":14743,"date":"2019-04-27T14:32:55","date_gmt":"2019-04-27T18:32:55","guid":{"rendered":"http:\/\/bangla.salearningschool.com\/recent-posts\/learn-deep-learning-by-examples-from-the-book-deep-learning-with-python\/"},"modified":"2019-04-27T14:32:55","modified_gmt":"2019-04-27T18:32:55","slug":"learn-deep-learning-by-examples-from-the-book-deep-learning-with-python","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=14743","title":{"rendered":"Learn Deep Learning by Examples from the book : Deep Learning with Python"},"content":{"rendered":"

Reference:<\/strong>
\nhttps:\/\/github.com\/fchollet\/deep-learning-with-python-notebooks<\/a><\/p>\n

Jupyter notebooks for the code samples of the book "Deep Learning with Python"<\/strong>
\nBook Link: <\/strong>https:\/\/www.manning.com\/books\/deep-learning-with-python?a_aid=keras&a_bid=76564dff<\/a><\/p>\n

You might want to search Google if the publisher\/author published the book for free online viewing. Sometimes authors do that.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Type<\/th>\nName<\/th>\nLatest commit message<\/th>\nCommit time<\/th>\n<\/tr>\n<\/thead>\n
2.1-a-first-look-at-a-neural-network.ipynb<\/a><\/td>\nAdd notebooks<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
3.5-classifying-movie-reviews.ipynb<\/a><\/td>\nAdd notebooks<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
3.6-classifying-newswires.ipynb<\/a><\/td>\nAdd notebooks<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
3.7-predicting-house-prices.ipynb<\/a><\/td>\ntypos<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
4.4-overfitting-and-underfitting.ipynb<\/a><\/td>\ntypos<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
5.1-introduction-to-convnets.ipynb<\/a><\/td>\nAdd notebooks<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
5.2-using-convnets-with-small-datasets.ipynb<\/a><\/td>\ntypos<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
5.3-using-a-pretrained-convnet.ipynb<\/a><\/td>\nAdd notebooks<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
5.4-visualizing-what-convnets-learn.ipynb<\/a><\/td>\ntypos<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
6.1-one-hot-encoding-of-words-or-characters.ipynb<\/a><\/td>\ntypos<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
6.1-using-word-embeddings.ipynb<\/a><\/td>\ntypos<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
6.2-understanding-recurrent-neural-networks.ipynb<\/a><\/td>\nAdd notebooks<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
6.3-advanced-usage-of-recurrent-neural-networks.ipynb<\/a><\/td>\ntypos<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
6.4-sequence-processing-with-convnets.ipynb<\/a><\/td>\nUpdate 6.4<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
8.1-text-generation-with-lstm.ipynb<\/a><\/td>\nAdd notebooks<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
8.2-deep-dream.ipynb<\/a><\/td>\nAdd notebooks<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
8.3-neural-style-transfer.ipynb<\/a><\/td>\nAdd notebooks<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
8.4-generating-images-with-vaes.ipynb<\/a><\/td>\nEdit documentation<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
8.5-introduction-to-gans.ipynb<\/a><\/td>\nAdd notebooks<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
LICENSE<\/a><\/td>\nInitial commit<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n
README.md<\/a><\/td>\nAdd nbviewer links to READE<\/a><\/td>\n2 years ago<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n<\/h3>\n

"This repository contains Jupyter notebooks implementing the code samples found in the book Deep Learning with Python (Manning Publications)<\/a>. "<\/p>\n

"These notebooks use Python 3.6 and Keras 2.0.8. "<\/p>\n","protected":false},"excerpt":{"rendered":"

Reference: https:\/\/github.com\/fchollet\/deep-learning-with-python-notebooks Jupyter notebooks for the code samples of the book "Deep Learning with Python" Book Link: https:\/\/www.manning.com\/books\/deep-learning-with-python?a_aid=keras&a_bid=76564dff You might want to search Google if the publisher\/author published the book for free online viewing. Sometimes authors do that. Type Name Latest commit message Commit time 2.1-a-first-look-at-a-neural-network.ipynb Add notebooks 2 years ago 3.5-classifying-movie-reviews.ipynb Add notebooks 2 … <\/p>\n

Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[182],"tags":[],"class_list":["post-14743","post","type-post","status-publish","format-standard","hentry","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":19601,"url":"http:\/\/bangla.sitestree.com\/?p=19601","url_meta":{"origin":14743,"position":0},"title":"Reinforcement Learning Examples\/DQN Examples","author":"Sayed","date":"February 2, 2021","format":false,"excerpt":"What I was looking for is: A DQN (Deep Q Learning Neural Network) or a Reinforcement Learning example that can learn from existing simulation data, and then can use that learning to interactively optimize an objective. The challenge will be: Whether my data can be learned from (whether the format\/structure\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":17360,"url":"http:\/\/bangla.sitestree.com\/?p=17360","url_meta":{"origin":14743,"position":1},"title":"Deep Learning in Matlab (vs Python)","author":"Sayed","date":"August 26, 2020","format":false,"excerpt":"Why should I choose matlab deep learning toolbox over other open source frameworks like caffe, onnx, pytorch, torch etc? https:\/\/www.mathworks.com\/matlabcentral\/answers\/421259-why-should-i-choose-matlab-deep-learning-toolbox-over-other-opensource-frameworks-like-caffe-onnx Preferable tools for machine learning - Python - MatLab - R https:\/\/www.codementor.io\/@innat_2k14\/preferable-tools-for-machine-learning-python-matlab-r-jfozzpphz MATLAB vs. Python: Top Reasons to Choose MATLAB https:\/\/www.mathworks.com\/products\/matlab\/matlab-vs-python.html Use Python not Matlab https:\/\/folk.uio.no\/jeanra\/Informatics\/UsePythonNotMatlab.html UT Austin Researchers Convert\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":26368,"url":"http:\/\/bangla.sitestree.com\/?p=26368","url_meta":{"origin":14743,"position":2},"title":"Reinforcement Learning Examples\/DQN Examples #Root","author":"Author-Check- Article-or-Video","date":"April 22, 2021","format":false,"excerpt":"What I was looking for is: A DQN (Deep Q Learning Neural Network) or a Reinforcement Learning example that can learn from existing simulation data, and then can use that learning to interactively optimize an objective. The challenge will be: Whether my data can be learned from (whether the format\/structure\u2026","rel":"","context":"In "FromSitesTree.com"","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16488,"url":"http:\/\/bangla.sitestree.com\/?p=16488","url_meta":{"origin":14743,"position":3},"title":"Python Machine Learning Codes","author":"Sayed","date":"December 6, 2019","format":false,"excerpt":"Sebastian Raschka has shared the codes for his upcoming book \"Python Machine Learning - 3rd Edition\" in the below github repository. https:\/\/lnkd.in\/ex7J-EY","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":14735,"url":"http:\/\/bangla.sitestree.com\/?p=14735","url_meta":{"origin":14743,"position":4},"title":"Sequence Classification using Deep Learning","author":"Sayed","date":"April 21, 2019","format":false,"excerpt":"\"Sequence classification has a broad range of applications such as genomic analysis, information retrieval, health informatics, finance, and abnormal detection....\" Ref: Theory: https:\/\/www.cs.sfu.ca\/~jpei\/publications\/Sequence%20Classification.pdf Sequence Classification in Keras\/Python, LSTM, GRU, BIDirectional LSTM https:\/\/machinelearningmastery.com\/develop-bidirectional-lstm-sequence-classification-python-keras\/ Sequence Classification Using Deep Learning \"This example uses the Japanese Vowels data set as described in [1] and\u2026","rel":"","context":"In "\u09ac\u09cd\u09b2\u0997 \u0964 Blog"","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":24953,"url":"http:\/\/bangla.sitestree.com\/?p=24953","url_meta":{"origin":14743,"position":5},"title":"Sequence Classification using Deep Learning #Root","author":"Author-Check- Article-or-Video","date":"April 14, 2021","format":false,"excerpt":"\"Sequence classification has a broad range of applications such as genomic analysis, information retrieval, health informatics, finance, and abnormal detection....\" Ref: Theory: https:\/\/www.cs.sfu.ca\/~jpei\/publications\/Sequence%20Classification.pdf Sequence Classification in Keras\/Python, LSTM, GRU, BIDirectional LSTM https:\/\/machinelearningmastery.com\/develop-bidirectional-lstm-sequence-classification-python-keras\/ Sequence Classification Using Deep Learning \"This example uses the Japanese Vowels data set as described in [1] and\u2026","rel":"","context":"In "FromSitesTree.com"","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/14743","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14743"}],"version-history":[{"count":0,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/14743\/revisions"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14743"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=14743"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=14743"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}