Single Producer Single Consumer Lock-free FIFO From the Ground Up
0 码力 | 51 页 | 546.30 KB | 5 月前3《Efficient Deep Learning Book》[EDL] Chapter 3 - Learning Techniques
binary values in the ground-truth labels with the probabilities of the sample image belonging to each class. A student network can then learn from both the soft and the hard ground-truth labels. This technique Distillation captures the relationship between classes which is not represented through the hard (ground-truth) labels in the original dataset. A student model can then learn it using a loss function that pre-trained and frozen during this process, and only the student network is updated. The distillation and ground-truth loss computations are similar except that the distillation loss uses teacher’s outputs as labels0 码力 | 56 页 | 18.93 MB | 1 年前3Godot Game Development for Beginners
certain velocity, detecting colliders and other things. The second parameter is the ground normal (which way is the ground pointing?). After this, we can apply gravity and check for if we're pressing environment so we have somewhere for the player to exist. In our Models/Environment folder, we have a Ground model. Drag that into the scene window to create a new MeshInstance node. Set the position to 0 our case, we want the player to be able to collide with the ground, otherwise they'd sink through. So to do this, we can select the ground node and in the scene panel, select Mesh > Create Trimesh Static0 码力 | 199 页 | 12.53 MB | 10 月前3DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
obtain code preference data based on compiler-feedback, and mathematical preference data based on the ground-truth labels. For reward model training, we initialize the reward models with DeepSeek-V2 Chat (SFT) Then, we compute the agreement among their annotations and the ground-truth label. As shown in Table 10, three human annotators and the ground-truth label exhibit a low agreement with each other. Therefore sets to our efforts in debiasing the pre-training corpus. 32 Agreement Ground-Truth Label Annotator 1 Annotator 2 Annotator 3 Ground-Truth Label 100.0% 66.7% 59.8% 42.1% Annotator 1 66.7% 100.0% 57.9% 690 码力 | 52 页 | 1.23 MB | 1 年前3Message Handling with Boolean Algebra
explanation "If it's raining, the ground is wet." Q. What would make this a false statement? A. Only if it's raining and the ground is not wet. If it's not raining, the ground might still be wet, and the 65Yet another explanation "If it's raining, the ground is wet." or "The set of times when it's raining is a subset of the set of times when the ground is wet." 66Truth tables again A B A ∧ B A ∨ B0 码力 | 103 页 | 4.37 MB | 5 月前3Godot Game Development for Beginners
in a 3D game world. We can then rename this to Ground to represent its use in the scene. Next, we will add a MeshInstance3D node as a child of our Ground node. This book is brought to you by Zenva - Enroll engine. © Zenva Pty Ltd 2024. All rights reserved Then select the Rotate Tool (E), and rotate the Ground node around -20 on the X-axis. Creating the Player We now need to create our player. For the parent a tree our Player has hit. This will allow us to detect the difference between the Tree’s and the Ground’s StaticBody3D nodes. We will add a new group to our node with the name Tree. This book is brought0 码力 | 70 页 | 4.78 MB | 10 月前3深度学习与PyTorch入门实战 - 31. 过拟合与欠拟合
过拟合&欠拟合 主讲人:龙良曲 Scenario1: house price Scenario2: GPA The ground-truth distribution? ▪ That’s perfect if known ▪ However Another factor: noise ▪ ? = ? ∗ ? + ? + ? ▪ ? ∽ ?(0.01, 1) ▪ 1.567 = w + eps ▪ … ???? = ?? + ? − ? 2 Let’s assume Mismatch: ground-truth VS estimated ▪ model capacity Model Capacity Case1: Estimated < Ground-truth under- fitting For example: WGAN Underfitting ▪ ▪ train acc. is bad ▪ test acc. is bad as well Case2: Ground-truth < Estimated over- fitting Overfitting ▪ train loss and acc. is much better ▪ test acc. is worse ▪ => Generalization Performance0 码力 | 17 页 | 1.31 MB | 1 年前3Getting Started in KiCad 4.0
below. Labels can be moved around as many times as you please. 28. It is time to place the power and ground symbols. Click on the Place a power port button on the right toolbar. Alternatively, press the connect up all the wires except GND. In fact, we will connect all GND connections in one go using a ground plane placed on the bottom copper (called B.Cu) of the board. 13. Now we must choose which copper width from 8 mil (indicated as 0.0080) to 24 mil (indicated as 0.0240). Next, add everything but ground to the power class (select default at left and power at right and use the arrows). 18. If you want0 码力 | 63 页 | 756.22 KB | 1 年前3Getting Started in KiCad 5.1
many times as you please. Getting Started in KiCad 14 / 43 28. It is time to place the power and ground symbols. Click on the Place power port button on the right toolbar. Alternatively, press [p]. In connect up all the wires except GND. In fact, we will connect all GND connections in one go using a ground plane placed on the bottom copper (called B.Cu) of the board. 13. Now we must choose which copper width from 8 mil (indicated as 0.0080) to 24 mil (indicated as 0.0240). Next, add everything but ground to the power class (select default at left and power at right and use the arrows). 18. If you want0 码力 | 48 页 | 752.57 KB | 1 年前3Getting Started in KiCad 5.1
below. Labels can be moved around as many times as you please. 28. It is time to place the power and ground symbols. Click on the Place power port button on the right toolbar. Alternatively, press [p]. connect up all the wires except GND. In fact, we will connect all GND connections in one go using a ground plane placed on the bottom copper (called B.Cu) of the board. 13. Now we must choose which copper width from 8 mil (indicated as 0.0080) to 24 mil (indicated as 0.0240). Next, add everything but ground to the power class (select default at left and power at right and use the arrows). 18. If you want0 码力 | 63 页 | 634.01 KB | 1 年前3
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