## Highlights

*   TF 2.0 delivers Keras as the central high level API used to build and train
    models. Keras provides several model-building APIs such as Sequential,
    Functional, and Subclassing along with eager execution, for immediate
    iteration and intuitive debugging, and `tf.data`, for building scalable
    input pipelines. Checkout
    [guide](https://www.tensorflow.org/beta/guide/keras/overview) for additional

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0F1A..0F1F    ; valid                  ;      ; NV8    # 2.0  TIBETAN SIGN RDEL DKAR GCIG..TIBETAN SIGN RDEL DKAR RDEL NAG
0F20..0F29    ; valid                                  # 2.0  TIBETAN DIGIT ZERO..TIBETAN DIGIT NINE

### CSI Proxy for Windows

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counter *[gcmBlockSize]byte, nonce []byte) { // GCM has two modes of operation with respect to the initial counter // state: a "fast path" for 96-bit (12-byte) nonces, and a "slow path" // for nonces of other lengths. For a 96-bit nonce, the nonce, along // with a four-byte big-endian counter starting at one, is used // directly as the starting counter. For other nonce sizes, the counter // is computed by passing it through the GHASH function. if len(nonce) == gcmStandardNonceSize { copy(counter[:],...