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10 2024 档案

• PyTorchStepByStep - Chapter 8: Sequences
  摘要：Data Generation points, directions = generate_sequences(n=128, seed=13) And then let’s visualize the first ten squares: The corners show the order in 阅读全文
  posted @ 2024-10-30 20:08 ZhangZhihuiAAA 阅读(61) 评论(0) 推荐(0) 编辑
• PyTorchStepByStep - Extra Chapter: Vanishing and Exploding Gradients
  摘要：Data Generation x, y = load_data(n_points=1000, n_dims=10) Next, we can use these data points to create a dataset and a data loader (no mini-batches t 阅读全文
  posted @ 2024-10-29 17:35 ZhangZhihuiAAA 阅读(3) 评论(0) 推荐(0) 编辑
• PyTorch - Difference between rand() and randn()
  摘要：rand() - Returns a tensor filled with random numbers from a uniform distribution on the interval [0, 1) torch.rand(100) tensor([0.7880, 0.3032, 0.3627 阅读全文
  posted @ 2024-10-29 09:54 ZhangZhihuiAAA 阅读(51) 评论(0) 推荐(0) 编辑
• PyTorchStepByStep - Chapter 7: Transfer Learning
  摘要：http://wordnet.princeton.edu http://www.image-net.org/ https://tinyurl.com/3ppc3xy2 http://www.image-net.org/challenges/LSVRC/ https://papers.nips.cc/ 阅读全文
  posted @ 2024-10-23 17:27 ZhangZhihuiAAA 阅读(21) 评论(0) 推荐(0) 编辑
• PyTorchStepByStep - Chapter 6: Rock, Paper, Scissors…
  摘要：https://storage.googleapis.com/download.tensorflow.org/data/rps.zip https://storage.googleapis.com/download.tensorflow.org/data/rps-test-set.zip temp_ 阅读全文
  posted @ 2024-10-20 11:17 ZhangZhihuiAAA 阅读(4) 评论(0) 推荐(0) 编辑
• Python - setattr
  摘要： 阅读全文
  posted @ 2024-10-19 11:26 ZhangZhihuiAAA 阅读(3) 评论(0) 推荐(0) 编辑
• Matplotlib - TypeError: 'Axes' object is not subscriptable
  摘要：Error code: fig, axs = plt.subplots(n_filters, n_in_channels, figsize=figsize) print(axs[0, 0]) This is because n_filters = 1 and n_in_channels = 1, a 阅读全文
  posted @ 2024-10-19 11:11 ZhangZhihuiAAA 阅读(96) 评论(0) 推荐(0) 编辑
• PyTorchStepByStep - Chapter 5: Convolutions
  摘要：single = np.array( [[[[5, 0, 8, 7, 8, 1], [1, 9, 5, 0, 7, 7], [6, 0, 2, 4, 6, 6], [9, 7, 6, 6, 8, 4], [8, 3, 8, 5, 1, 3], [7, 2, 7, 0, 1, 0]]]] ) sing 阅读全文
  posted @ 2024-10-17 22:03 ZhangZhihuiAAA 阅读(6) 评论(0) 推荐(0) 编辑
• PyTorchStepByStep - Bonus Chapter: Feature Space
  摘要： 阅读全文
  posted @ 2024-10-17 21:03 ZhangZhihuiAAA 阅读(2) 评论(0) 推荐(0) 编辑
• PyTorchStepByStep - Chapter 4: Classifying Images
  摘要：images, labels = generate_dataset(img_size=5, n_images=300, binary=True, seed=13) And then let’s visualize the first 30 images: image_r = np.zeros((5, 阅读全文
  posted @ 2024-10-15 22:38 ZhangZhihuiAAA 阅读(11) 评论(0) 推荐(0) 编辑
• Numpy - np.c_
  摘要： 阅读全文
  posted @ 2024-10-15 09:19 ZhangZhihuiAAA 阅读(4) 评论(0) 推荐(0) 编辑
• VSCode - Error loading webview: Error: Could not register service workers: InvalidStateError: Failed to register a ServiceWorker: The document is in an invalid state..
  摘要：Fixed with restarting VSCode. 阅读全文
  posted @ 2024-10-14 12:00 ZhangZhihuiAAA 阅读(41) 评论(0) 推荐(0) 编辑
• PyTorchStepByStep - Chapter 3: A Simple Classification Problem
  摘要：from sklearn.datasets import make_moons from sklearn.model_selection import train_test_split X, y = make_moons(n_samples=100, noise=.3, random_state=0 阅读全文
  posted @ 2024-10-14 09:20 ZhangZhihuiAAA 阅读(4) 评论(0) 推荐(0) 编辑
• PyTorchStepByStep - Chapter 2.1: Going Classy
  摘要：class StepByStep(): def __init__(self, model, loss_fn, optimizer): self.device = 'cuda' if torch.cuda.is_available() else 'cpu' self.model = model.to( 阅读全文
  posted @ 2024-10-13 17:48 ZhangZhihuiAAA 阅读(4) 评论(0) 推荐(0) 编辑
• VSCode - TensorBoard Extention
  摘要： 阅读全文
  posted @ 2024-10-13 09:50 ZhangZhihuiAAA 阅读(9) 评论(0) 推荐(0) 编辑
• PyTorchStepByStep - Chapter 2: Rethinking the Training Loop
  摘要：def make_train_step_fn(model, loss_fn, optimizer): def perform_train_step_fn(x, y): # Set model to TRAIN mode model.train() # Step 1 - Compute model's 阅读全文
  posted @ 2024-10-12 21:32 ZhangZhihuiAAA 阅读(37) 评论(0) 推荐(0) 编辑
• Jupyter - Magic Function Usage
  摘要：%%writefile data_preparation/v0.py device = 'cuda' if torch.cuda.is_available() else 'cpu' # Our data was in Numpy arrays, but we need to transform th 阅读全文
  posted @ 2024-10-05 20:17 ZhangZhihuiAAA 阅读(20) 评论(0) 推荐(0) 编辑
• PyTorchStepByStep - Chapter 1: A Simple Regression Problem
  摘要：Regression is a statistical technique that relates a dependent variable to one or more independent variables. A regression model is able to show wheth 阅读全文
  posted @ 2024-10-02 17:28 ZhangZhihuiAAA 阅读(6) 评论(0) 推荐(0) 编辑