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My custom implementation of the AM-Softmax algorithm for TensorFlow 2.0. It is focussed on performing the deep metric learning process for acoustic (music-related) data.

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akkurowski/AM-Softmax-TF2.0-Implementation

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An implementation of the AM-Softmax Loss algorithm in TensorFlow 2.0

It is not easy to find an implementation of the AM-Softmax algorithm, which is working just after cloning it from the repository. This is my attempt to develop such an algorithm. The script is prepared with intention of using it for carrying out a deep metric learning process for acoustic (musical) data.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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My custom implementation of the AM-Softmax algorithm for TensorFlow 2.0. It is focussed on performing the deep metric learning process for acoustic (music-related) data.

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