tf-tutorial | From basic linear regression , to CNN , to RNN , to seq2seq | Machine Learning library

 by   soloice Python Version: Current License: MIT

kandi X-RAY | tf-tutorial Summary

kandi X-RAY | tf-tutorial Summary

tf-tutorial is a Python library typically used in Artificial Intelligence, Machine Learning, Pytorch, Tensorflow, Neural Network applications. tf-tutorial has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However tf-tutorial build file is not available. You can download it from GitHub.

本项目是一套面向初学者的 TF 教程。 其中介绍了 TF 的基本用法、一点点 CNN,着重强调了 seq2seq 模型。 seq2seq 的 API 在 TF 中文档支持并不好,这也是本项目诞生的原因。 本项目展示了如何使用 seq2seq 中的 API 以及 AttentionWrapper,并从源码的角度来澄清一些重要概念。. This project is a TensorFlow Tutorial for beginners. It introduces basic usage in TF, very little CNN, and emphasizes seq2seq models. The seq2seq APIs in TF are not well documented, and this is why I made this project. It shows how to use seq2seq APIs and AttentionWrapper, and dive into the source code to make key concepts clear.
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              tf-tutorial has a low active ecosystem.
              It has 46 star(s) with 12 fork(s). There are 3 watchers for this library.
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              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tf-tutorial is current.

            kandi-Quality Quality

              tf-tutorial has 0 bugs and 0 code smells.

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              tf-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              tf-tutorial code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tf-tutorial is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              tf-tutorial releases are not available. You will need to build from source code and install.
              tf-tutorial has no build file. You will be need to create the build yourself to build the component from source.
              tf-tutorial saves you 472 person hours of effort in developing the same functionality from scratch.
              It has 1112 lines of code, 40 functions and 9 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tf-tutorial and discovered the below as its top functions. This is intended to give you an instant insight into tf-tutorial implemented functionality, and help decide if they suit your requirements.
            • Train the network
            • Draw random samples
            • Generate random data
            • Plots the attention matrix
            • Try to download a file
            • Convolution layer
            • Return the next batch
            • Return the ID of a character
            • Returns the next batch
            • Convert a character to integer
            • A layer of fc layer
            • Convert batches to string
            • Convert dict id to character
            • Return a list of characters from probabilities
            • Convert dict ID to character
            • Read data from a zip file
            • Sample from prediction
            • Sample a distribution from a distribution
            • Get the input and output from the given IDs
            • Random distribution
            • Compute the log probability of predictions
            Get all kandi verified functions for this library.

            tf-tutorial Key Features

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            tf-tutorial Examples and Code Snippets

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            Community Discussions

            QUESTION

            Understand glTF jointMatrix
            Asked 2021-Mar-17 at 17:55

            I read the Skins section in glTF's github tutorial, but failed to understand how jointMatrix works.

            In the tutorial, it's defined as

            ...

            ANSWER

            Answered 2021-Mar-17 at 17:55

            One thing to keep in mind is that the vertex shader is executing within the context of the skinned mesh node, not the skeleton root or joints. This means that the model view matrix is potentially in a "meaningless" place: This skinned node may have been given a transformation, but it won't be affected by that as all of its vertices are controlled by joints instead. The glTF Validator will even warn if a skinned node is NOT a root node, for this reason, as transforms applied to the skin itself are no-ops.

            So the steps needed for any particular vertex in the skin then are:

            1. Undo the skin's world-to-node transformations, if any.
            2. Apply the joint's world-to-joint transformations.
            3. Undo the "rest" position of the joint.

            These three steps correspond to the three you listed from the tutorial.

            Let's talk about the third one. Each joint has a "rest" position. For example an arm bone might be at rest in the left arm of the skin's original shape (bind pose), and a leg bone might be in the right leg for example. These bones don't sit at the origin, they are sprinkled all around the model. But we don't want them pulling vertices around when they are in the rest position, for example the arm bone might be above and to the left of the origin but shouldn't pull any vertices up and to the left when it's at rest.

            So each joint has an "inverse bind matrix" that undoes the effects that the joint would naturally have in its own rest position. When the joint moves, it moves relative to its own rest position, and that delta (the difference between steps 2 and 3) is what gets applied to the target vertex.

            If the skin itself tries to move, nothing happens. Such a transform is applied to u_modelViewMatrix at the end of the tutorial's shader, and the inverse of that transform is applied in step 1, so they cancel out. If you wanted to move the entire skinned mesh, of course the correct way to do that is by repositioning the whole skeleton, not the skinned node. Moving the root joint would apply new transformations in step 2 for all vertices in the mesh.

            Source https://stackoverflow.com/questions/66677427

            QUESTION

            Understanding the skinning part of a GLTF2.0 file for OpenGL engine
            Asked 2019-May-07 at 20:17

            I have a simple blender model which consists of three meshes with three bones controlling one mesh each. The animation is just the bones rotating the cubes a bit around the y-axis and back. The center bone is the parent of the two outer bones.

            I then export this scene with the GLTF2.0 (text version) export plugin and am now trying to import this into my newly made opengl engine (c# xamarin android).

            Since I want to understand the GLTF2.0 format and skeletal animation in OpenGL completely, I am trying to implement the GLTF2.0 reading myself.

            I read:

            Displaying the meshes was easy, but now I am stuck making the animations work. In my gltf file I see three skins:

            ...

            ANSWER

            Answered 2019-May-07 at 20:17

            I'm trying to address your questions one by one

            • Why are there three skins? Why is the inverseBindMatrices bound to a skin and not to a joint?

            As you already found out, there is one skin per mesh. THe fact that in your specific case, you could merge all three meshes into one, doesn't really restrict this general principle. However

            I think there needs to be an inverse bind matrix for each mesh in order to be able to transform the mesh to bone space (and - if need be - back).

            There is an inverse bind matrix for each joint of each mesh. The name of the property is inverseBindMatrices in plural for a reason, and it references a bufferview which in turn references some data in a buffer.

            Changing the order of your question here, because this way it will make more sense:

            Every bone node in the file has its own rotation, translation, scale values but no matrix. Why is that? Isn't there something missing?

            What else do you need? Every affine transformation can be decomposed into translation, rotation and scale, so the data is complete. glTF spec defines that the resulting matrix should be calculated in the order T*R*S.

            • When I have the right rotation, scaling, translation from a key frame (per bone), how do I calculate the matrices for each bone that I need to pass to my vertex shader?

            For each bone node i, you can calculate a local transformation as M_local(i) = T(i)*R(i)*S(i). You will get the joint matrices by applying the complete hierachy, so basically M_global(i) = M_global(parent(i)) * M_local(i) and can then construct the join matrices as M_joint(i) = inverse(globalTransform) * M_global(i) * inverseBindMatrix(i).

            • The gltf file referse to a bone (joint) as a node id, but the weights/jointId-Arrays that get passed as attributes to the shader do not match these bone ids: jointIds-Array contains i.e. 0,1,2 for the bone ids, but the bones are in nodes 4,5,6 - how do I find the right bone for each jointId passed to the shader?

            The jointIds Array contains references to the joints, not the bones (hence the name). The skinning shader does not care about bones at all, all what the bones do is define the hierachy for the joints here, so they influence the actual values of the M_global and hence also the M_joint matrices. The i-th entry just references the i-th joint in the joints array of the respective skin, hence it needs M_joint(i).

            • Since every Skin has a list of three (or max. 4) Joints, these are the Joints of which the final transformations need to be passed to the vertex shader.

            Why would a skin be limited to 4 joints. A skin can have as many joints a one likes.

            If you have 8 Joints but the current to-be-drawn Mesh only gets affected by 4 of them, why should you pass all 8 matrices instead of only the 4 you need.

            Why would you define a skin of 8 bones for a mesh which only needs four? The glTF data format does not prevent you from storing irrelevant information, or store information in an inefficient way.

            The point to note here is that the hierachy between the joints is still defined by the bone node hierachy of the skeleton. So you can leave out arbitrary joints in a single skin, but these bone nodes (and a potential animation for them) can still affect the final joint matrices - for any joint defined by a bone which is below the "left out" bones in the skeleton bone hierachy.

            Source https://stackoverflow.com/questions/55989429

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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            Install tf-tutorial

            You can download it from GitHub.
            You can use tf-tutorial like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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