文件名称：Python-學習Keras的一些記錄及練習
文件大小：19.24MB
文件格式：ZIP
更新时间：2022-08-31 01:07:19
Python开发-机器学习
這個github的repository主要是個人在學習Keras的一些記錄及練習。希望在學習過程中發現到一些好的資訊與範例也可以對想要學習使用 Keras來解決問題的同好，或是對深度學習有興趣的在學學生可以有一些方便理解與上手範例來練練手。
【文件预览】：
deep-learning-with-keras-notebooks-master
----3.5-yolov2-train-hands-dataset.ipynb(394KB)
----0.1-poker-cards-dataset.ipynb(501KB)
----7.4-face-recognition.ipynb(808KB)
----2.0-first-steps-with-julia.ipynb(209KB)
----7.0-opencv-face-detection.ipynb(1.18MB)
----1.8-seq2seq-introduction.ipynb(100KB)
----7.5-face-landmarks-detection.ipynb(1.35MB)
----1.6-visualizing-what-convnets-learn.ipynb(6.68MB)
----1.b-lstm-return-sequences-states.ipynb(10KB)
----assets()
--------data()
----3.0-yolo-algorithm-introduction.ipynb(14KB)
----7.3-face-embedding-and-classifier.ipynb(21KB)
----1.4-small-datasets-image-augmentation.ipynb(411KB)
----3.2-yolov2-train_racoon_dataset.ipynb(523KB)
----2.4-facial-keypoints-recognition.ipynb(649KB)
----1.3-use-pretrained-model.ipynb(18KB)
----1.7-autoencoder.ipynb(217KB)
----1.9-onehot-encoding-introduction.ipynb(15KB)
----2.5-use-keras-break-captcha.ipynb(301KB)
----3.6-yolov2-train-simpson-dataset.ipynb(210KB)
----7.6-head-pose-estimation.ipynb(708KB)
----8.0-using-word-embeddings.ipynb(70KB)
----8.4-word2vec-with-gensim.ipynb(21KB)
----3.1-yolov2-object-detection.ipynb(1.52MB)
----3.4-yolov2-train-kangaroo-dataset.ipynb(852KB)
----README.md(9KB)
----0.2-image-processing-pillow.ipynb(1.43MB)
----2.3-fashion-mnist-recognition.ipynb(115KB)
----3.3-yolov2-racoon_detection_inaction.ipynb(820KB)
----7.1-mtcnn-face-detection.ipynb(775KB)
----1.c-lstm-learn-alphabetic-seq.ipynb(40KB)
----1.1-keras-functional-api.ipynb(184KB)
----1.2-vgg16-from-scratch.ipynb(20KB)
----2.7-mnist-recognition-cnn.ipynb(66KB)
----7.2-face-detect-align-and-crop.ipynb(18KB)
----2.2-simpson-characters-recognition.ipynb(1.44MB)
----1.0-image-augmentation.ipynb(117KB)
----8.3-jieba-lyrics-analysis.ipynb(85KB)
----3.7-yolov2-train-coco-dataset.ipynb(723KB)
----2.1-traffic-signs-recognition.ipynb(92KB)
----0.0-coco-dataset-api.ipynb(2.99MB)
----1.a-rnn-introduction.ipynb(109KB)
----1.5-use-pretrained-model-2.ipynb(292KB)
----8.2-word2vec-concept-introduction.ipynb(10KB)
----8.1-jieba-word-tokenizer.ipynb(15KB)
----2.6-mnist-recognition-mlp.ipynb(87KB)